<div dir="ltr"><div class="gmail_quote gmail_quote_container"><div><p dir="ltr" class="MsoNormal" style="text-align:justify;text-indent:0px;line-height:25.5pt;background-color:white;margin:24pt 0cm 12pt"><span style="font-family:Aptos,sans-serif;font-size:12pt;color:black">[Apologies if you got multiple copies of this invitation]</span></p>
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<span style="font-family:"Times New Roman",serif;font-size:18pt;color:rgb(15,17,21)"><b>The 2026 International Conference on Federated Learning and Intelligent Computing Systems (FLICS 2026)</b></span></p>
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<span style="font-family:"Times New Roman",serif;font-size:12pt;color:rgb(57,100,254)"><u><a href="https://flics-conference.org/index.php" style="color:rgb(57,100,254);margin-top:0px;margin-bottom:0px" target="_blank">https://flics-conference.org/index.php</a></u></span></p>
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<span style="font-family:"Times New Roman",serif;font-size:12pt;color:rgb(15,17,21)"><br>
<b>Valencia, Spain, June 9-12, 2026</b></span></p>
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<span style="font-family:"Times New Roman",serif;font-size:12pt;color:rgb(238,0,0)"><b>Technically Co-sponsored by IEEE Spain Section</b></span></p>
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<span style="font-family:"Times New Roman",serif;font-size:14pt;color:rgb(15,17,21);background-color:yellow"><b>Important:</b> Selected papers will be invited to the
<i>Expert Systems Journal</i> or <i>Cluster Computing</i>.</span></p>
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<span style="font-family:"Times New Roman",serif;font-size:15pt;color:rgb(15,17,21)"><b>Conference Scope</b></span></p>
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<span style="font-family:"Times New Roman",serif;font-size:12pt;color:rgb(15,17,21)">The Federated Learning and Intelligent Computing Systems (FLICS) Conference brings together researchers, practitioners, and industry leaders to explore the convergence
of federated learning with intelligent computing systems, edge AI, and autonomous workflows. As we advance toward 6G networks, pervasive edge intelligence, and decentralized cyber-physical systems, the need for collaborative, privacy-preserving learning approaches
has never been more critical.</span></p>
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<span style="font-family:"Times New Roman",serif;font-size:12pt;color:rgb(15,17,21)">FLICS conference focuses on the intersection of federated learning systems with emerging intelligent computing paradigms, including agentic AI workflows, edge intelligence,
digital twin technologies, mobile computing, and distributed machine learning. We aim to address the fundamental challenges of engineering and deploying scalable, secure, and efficient federated learning systems across diverse computational environments in
various application domains, including health, energy management, industrial automation, and smart cities.</span></p>
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<span style="font-family:"Times New Roman",serif;font-size:12pt;color:rgb(15,17,21)">FLICS 2026 provides a unique platform for interdisciplinary collaboration, bridging theoretical foundations and practical implementations. The Conference welcomes
contributions from both researchers and practitioners in the field of FL.</span></p>
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<span style="font-family:"Times New Roman",serif;font-size:15pt;color:rgb(15,17,21)"><b>Topics of Interest:</b></span></p>
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<span style="font-family:"Times New Roman",serif;font-size:12pt;color:rgb(15,17,21)">We invite submissions addressing, but not limited to, the following areas:</span></p>
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<span style="font-family:"Times New Roman",serif;font-size:12pt;color:rgb(15,17,21)"><b>1- Federated Learning Systems & Edge Intelligence</b></span></p>
<ul style="text-align:left;margin-top:0cm;margin-bottom:0cm">
<li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">FL systems automation and self-tuning capabilities</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Scalable federated learning architectures for large-scale deployments</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Cross-silo and cross-device federated learning systems</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Hardware-aware and resource-efficient federated learning</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Communication-efficient FL (quantization, sparsification, compression techniques)</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">FL under client mobility, heterogeneity, and intermittent connectivity</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Network-aware optimization and system-level co-design for FL</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Benchmark and evaluation frameworks for FL systems in mobile/wireless environments</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">FL deployment in UAVs, mobile edge clouds, and autonomous systems</span></li></ul>
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<span style="font-family:"Times New Roman",serif;font-size:12pt;color:rgb(15,17,21)"><b>2- Agentic Workflows and Collaborative AI</b></span></p>
<ul style="text-align:left;margin-top:0cm;margin-bottom:0cm">
<li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Federated learning for agentic AI systems and autonomous workflows</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Collaborative learning in multi-agent environments</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Privacy-preserving agent-to-agent communication and coordination</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Federated training of foundation models for agentic applications</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Distributed learning for tool-use optimization and workflow adaptation</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">User-agent interaction personalization through federated approaches</span></li></ul>
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<span style="font-family:"Times New Roman",serif;font-size:12pt;color:rgb(15,17,21)"><b>3- Privacy, Security, and Trust</b></span></p>
<ul style="text-align:left;margin-top:0cm;margin-bottom:0cm">
<li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Privacy-enhancing technologies for federated learning</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Secure aggregation protocols and cryptographic methods</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Trustworthy and explainable federated learning systems</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Resilient and robust FL systems against attacks</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Privacy-utility trade-offs in distributed learning</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Auditable and interpretable federated learning frameworks</span></li></ul>
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<span style="font-family:"Times New Roman",serif;font-size:12pt;color:rgb(15,17,21)"><b>4- Digital Twins & Cyber-Physical Systems</b></span></p>
<ul style="text-align:left;margin-top:0cm;margin-bottom:0cm">
<li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Federated intelligence for digital twin ecosystems</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Digital twin generation and maintenance in distributed networks</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Real-time federated learning for cyber-physical system monitoring</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Distributed digital twins for smart cities and industrial IoT</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Federated anomaly detection and predictive maintenance</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Live model updating and synchronization in digital twin networks</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Edge intelligence for decentralized digital twin ecosystems</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Federated optimization for cyber-physical system control</span></li></ul>
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<span style="font-family:"Times New Roman",serif;font-size:12pt;color:rgb(15,17,21)"><b>5- Mobile Computing & Wireless Networks</b></span></p>
<ul style="text-align:left;margin-top:0cm;margin-bottom:0cm">
<li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Federated learning protocols for mobile, vehicular, and edge networks</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">FL in 6G networks and next-generation wireless systems</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Multi-agent and swarm intelligence-based federated learning</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Energy-aware and communication-efficient federated intelligence</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Dynamic network topologies and adaptive FL protocols</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Distributed inference and online learning for mobile networks</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Cross-layer optimization for federated learning in wireless systems</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Quality of service and latency-aware federated learning</span></li></ul>
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<span style="font-family:"Times New Roman",serif;font-size:12pt;color:rgb(15,17,21)"><b>6- Applications and Real-World Deployments</b></span></p>
<ul style="text-align:left;margin-top:0cm;margin-bottom:0cm">
<li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Smart cities and urban computing applications</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Autonomous vehicles and intelligent transportation systems</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Industrial IoT and manufacturing intelligence</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Healthcare and medical federated learning systems</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Financial services and fraud detection</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Swarm robotics and distributed autonomous systems</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Environmental monitoring and sustainability applications</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Real-world case studies and deployment experiences</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Economic models and incentive mechanisms for data federations</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Regulatory compliance and legal frameworks (GDPR, EU AI Act, etc.)</span></li></ul>
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<span style="font-family:"Times New Roman",serif;font-size:12pt;color:rgb(15,17,21)"><b>7- Emerging Paradigms & Future Directions</b></span></p>
<ul style="text-align:left;margin-top:0cm;margin-bottom:0cm">
<li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Continual and lifelong learning in federated settings</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Few-shot and zero-shot federated learning</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Federated meta-learning and transfer learning</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Neural architecture search in federated environments</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Generative AI and federated learning convergence</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Quantum-enhanced federated learning</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Federated foundation models and large-scale pre-training</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Neuromorphic computing and federated learning</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Blockchain and distributed ledger technologies for FL</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Sustainable and green federated learning approaches</span></li></ul>
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<span style="font-family:"Times New Roman",serif;font-size:12pt;color:rgb(15,17,21)"><b>8- AI & Intelligent Systems for Smart Cities</b></span></p>
<ul style="text-align:left;margin-top:0cm;margin-bottom:0cm">
<li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">AI-driven urban mobility: traffic flow optimization, multimodal transport, autonomous vehicles</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Smart energy: predictive demand response, grid optimization, distributed energy resources</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Urban sensing & IoT: federated and privacy-preserving analytics for large-scale data</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Home and building automation: comfort, safety, and energy efficiency through edge AI</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">AI for public safety, emergency response, and disaster resilience</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Urban digital twins: modeling, simulation, and real-time decision-making</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Data governance, ethics, and fairness in city-scale AI deployments</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Cross-domain integration: combining mobility, energy, health, and environment data for holistic intelligence</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Real-world case studies and lessons learned from smart city pilots</span></li></ul>
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<span style="font-family:"Times New Roman",serif;font-size:12pt;color:rgb(15,17,21)"><b>9- Communication & Resource Efficiency</b></span></p>
<ul style="text-align:left;margin-top:0cm;margin-bottom:0cm">
<li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Model Compression & Quantization</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Gradient Compression Techniques</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Sparse Communication Protocols</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Energy-efficient FL</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Bandwidth-constrained Learning</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Adaptive Communication Strategies</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Hierarchical Federated Learning</span></li></ul>
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<span style="font-family:"Times New Roman",serif;font-size:12pt;color:rgb(15,17,21)"><b>10- Personalization & Fairness</b></span></p>
<ul style="text-align:left;margin-top:0cm;margin-bottom:0cm">
<li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Personalized Federated Learning</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Meta-learning for FL</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Fairness-aware FL</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Bias Mitigation Techniques</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Multi-objective FL</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Clustered Federated Learning</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Demographic Parity in FL</span></li></ul>
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<span style="font-family:"Times New Roman",serif;font-size:12pt;color:rgb(15,17,21)"><b>11- Edge Computing & IoT</b></span></p>
<ul style="text-align:left;margin-top:0cm;margin-bottom:0cm">
<li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Edge-Cloud Federated Learning</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">IoT Device Orchestration</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Mobile Edge Computing</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Fog Computing Integration</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">5G/6G Network Optimization</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Real-time FL Systems</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Resource-constrained Devices</span></li></ul>
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<span style="font-family:"Times New Roman",serif;font-size:12pt;color:rgb(15,17,21)"><b>12- Advanced AI & ML Paradigms</b></span></p>
<ul style="text-align:left;margin-top:0cm;margin-bottom:0cm">
<li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Federated Reinforcement Learning</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Federated Transfer Learning</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Federated Deep Learning</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Federated Graph Neural Networks</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Federated Generative Models</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Large Language Models in FL</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Neuro-symbolic FL</span></li></ul>
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<span style="font-family:"Times New Roman",serif;font-size:12pt;color:rgb(15,17,21)"><b>13- Applications & Use Cases</b></span></p>
<ul style="text-align:left;margin-top:0cm;margin-bottom:0cm">
<li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Healthcare & Medical AI</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Financial Services & FinTech</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Autonomous Vehicles</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Smart Cities & Infrastructure</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Industrial IoT & Manufacturing</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Natural Language Processing</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Computer Vision Applications</span></li></ul>
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<span style="font-family:"Times New Roman",serif;font-size:12pt;color:rgb(15,17,21)"><b>14- Systems & Infrastructure</b></span></p>
<ul style="text-align:left;margin-top:0cm;margin-bottom:0cm">
<li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">FL Frameworks & Platforms</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Distributed System Design</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Hardware Acceleration</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Blockchain-based FL</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Benchmarking & Evaluation</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Simulation Environments</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Performance Optimization</span></li></ul>
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<span style="font-family:"Times New Roman",serif;font-size:12pt;color:rgb(15,17,21)"><b>15- Emerging & Interdisciplinary</b></span></p>
<ul style="text-align:left;margin-top:0cm;margin-bottom:0cm">
<li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Quantum Federated Learning</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Federated Continual Learning</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Cross-modal Federated Learning</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Federated Causal Inference</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Sustainable & Green FL</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Human-in-the-loop FL</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation">Federated Explainable AI</span></li></ul>
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<span style="font-family:"Times New Roman",serif;font-size:12pt;color:rgb(15,17,21)"> </span></p>
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<span style="font-family:"Times New Roman",serif;font-size:15pt;color:rgb(15,17,21)"><b>Submission Types</b></span></p>
<ul style="text-align:left;margin-top:0cm;margin-bottom:0cm">
<li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation"><b>Research Papers up to 8 pages.</b></span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation"><b>Short Papers up to 6 pages.</b></span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation"><b>Poster up to 2 pages.</b></span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation"><b>Artefacts & Demonstrations up to 6 pages.</b></span></li></ul>
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<span style="font-family:"Times New Roman",serif;font-size:12pt;color:rgb(15,17,21)"> </span></p>
<p style="text-align:justify;text-indent:0px;margin-right:0cm;margin-left:0cm">
<span style="font-family:"Times New Roman",serif;font-size:12pt;color:black"><b><u>Submissions Guidelines and Proceedings</u></b></span></p>
<p style="text-align:justify;text-indent:0px;margin:5pt 0cm 12pt 18pt"><span style="font-family:"Times New Roman",serif;font-size:12pt;color:black">Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format. All
papers should be in PDF format and submitted electronically at the Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under
review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also, submissions received after the due date, exceeding the length limit, or not appropriately structured may also not be considered. Authors
may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the FLICS Proceedings, be published by the IEEE Computer Society Conference Publishing Services
and be submitted to IEEE Xplore for inclusion.<br>
<br>
Submitted papers must include original work and must not be under consideration for another conference or journal. Submission of regular papers up to 8 pages, and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and email
address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted
as short papers. Length of short papers can be between 4 to 6 pages.</span></p>
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<span style="font-family:"Times New Roman",serif;font-size:15pt;color:rgb(15,17,21)"><b>Important Dates</b></span></p>
<ul style="text-align:left;margin-top:0cm;margin-bottom:0cm">
<li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation"><b>Paper submission:</b> February 20th, 2026</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation"><b>Notification of acceptance:</b> April 15th, 2026</span></li><li style="font-family:Aptos,sans-serif;font-size:12pt;color:rgb(15,17,21);margin:0cm">
<span style="font-family:"Times New Roman",serif" role="presentation"><b>Camera-ready deadline:</b> May 5th, 2026</span></li></ul>
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<span style="font-family:"Times New Roman",serif;font-size:15pt;color:rgb(15,17,21)"><b>Contact Information</b></span></p>
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<span style="font-family:"Times New Roman",serif;font-size:12pt;color:rgb(15,17,21)">For questions about submissions, please contact: <br>
<b>Sadi Alawadi:</b> </span><span style="font-family:"Times New Roman",serif;font-size:12pt;color:rgb(150,96,125)"><u><a href="mailto:sadi.alawadi@bth.se" style="color:rgb(150,96,125);margin-top:0px;margin-bottom:0px" target="_blank">sadi.alawadi@bth.se</a></u></span></p>
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