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<body lang="EN-GB" link="#467886" vlink="#96607D" style="word-wrap:break-word">
<div class="WordSection1">
<p class="MsoNormal"><span lang="EN-US" style="color:#212121">Hello,<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#212121"><o:p> </o:p></span></p>
<p class="MsoNormal" style="caret-color: rgb(33, 33, 33);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-stroke-width: 0px;word-spacing:0px">
<span lang="EN-US" style="color:#212121">This is to let you know that the deadline for IEEE CAI 2025 Workshop on Fairness-Aware Federated Optimization and Learning has been extended to 10 March 2025.</span><span style="color:#212121"><o:p></o:p></span></p>
<p class="MsoNormal" style="caret-color: rgb(33, 33, 33);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-stroke-width: 0px;word-spacing:0px">
<span style="color:#212121"> <o:p></o:p></span></p>
<p class="MsoNormal" style="caret-color: rgb(33, 33, 33);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-stroke-width: 0px;word-spacing:0px">
<span lang="IT" style="color:#212121">2025 IEEE Conference on Artificial Intelligence (IEEE CAI), Santa Clara, California, USA May 5-7, 2025<o:p></o:p></span></p>
<p class="MsoNormal" style="caret-color: rgb(33, 33, 33);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-stroke-width: 0px;word-spacing:0px">
<span lang="EN-US" style="color:#212121">Web page:<span class="apple-converted-space"> </span></span><span style="color:#212121"><a href="https://xw00616.github.io/Fairness-aware-Federated-Optimization-and-Learning/" target="_blank" title="https://xw00616.github.io/Fairness-aware-Federated-Optimization-and-Learning/"><span lang="EN-US" style="color:#96607D">https://xw00616.github.io/Fairness-aware-Federated-Optimization-and-Learning/</span></a><span class="apple-converted-space"> </span> <o:p></o:p></span></p>
<p class="MsoNormal" style="caret-color: rgb(33, 33, 33);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-stroke-width: 0px;word-spacing:0px">
<span lang="EN-US" style="color:#212121"> </span><span style="color:#212121"><o:p></o:p></span></p>
<p class="MsoNormal" style="caret-color: rgb(33, 33, 33);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-stroke-width: 0px;word-spacing:0px">
<span lang="EN-US" style="color:#212121">The IEEE CAI 2025 Workshop on Fairness-Aware Federated Optimization and Learning seeks original, high-quality technical papers describing significant research contributions to fair, secure, and private federated optimization.</span><span style="color:#212121"> <o:p></o:p></span></p>
<p class="MsoNormal" style="caret-color: rgb(33, 33, 33);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-stroke-width: 0px;word-spacing:0px">
<span lang="EN-US" style="color:#212121">Proposed topics will include topics including, but not limited to:</span><span style="color:#212121"> <o:p></o:p></span></p>
<ol style="margin-top:0cm;padding-inline-start: 2.5em;caret-color: rgb(33, 33, 33);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-stroke-width: 0px;word-spacing:0px" start="1" type="1">
<li class="MsoNormal" style="color:#212121;mso-list:l7 level1 lfo1"><span lang="EN-US">Fairness-aware Bayesian optimization and data-driven optimization</span> <o:p></o:p></li></ol>
<ol style="margin-top:0cm;padding-inline-start: 2.5em;caret-color: rgb(33, 33, 33);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-stroke-width: 0px;word-spacing:0px" start="2" type="1">
<li class="MsoNormal" style="color:#212121;mso-list:l0 level1 lfo2"><span lang="EN-US">Fairness-aware multi-objective optimization and machine learning</span> <o:p></o:p></li></ol>
<ol style="margin-top:0cm;padding-inline-start: 2.5em;caret-color: rgb(33, 33, 33);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-stroke-width: 0px;word-spacing:0px" start="3" type="1">
<li class="MsoNormal" style="color:#212121;mso-list:l16 level1 lfo3"><span lang="EN-US">Privacy-preserving Bayesian and distributed optimization</span> <o:p></o:p></li></ol>
<ol style="margin-top:0cm;padding-inline-start: 2.5em;caret-color: rgb(33, 33, 33);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-stroke-width: 0px;word-spacing:0px" start="4" type="1">
<li class="MsoNormal" style="color:#212121;mso-list:l2 level1 lfo4"><span lang="EN-US">Secure federated optimization</span> <o:p></o:p></li></ol>
<ol style="margin-top:0cm;padding-inline-start: 2.5em;caret-color: rgb(33, 33, 33);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-stroke-width: 0px;word-spacing:0px" start="5" type="1">
<li class="MsoNormal" style="color:#212121;mso-list:l14 level1 lfo5"><span lang="EN-US">Client selection in fair cross-device FL</span> <o:p></o:p></li></ol>
<ol style="margin-top:0cm;padding-inline-start: 2.5em;caret-color: rgb(33, 33, 33);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-stroke-width: 0px;word-spacing:0px" start="6" type="1">
<li class="MsoNormal" style="color:#212121;mso-list:l5 level1 lfo6"><span lang="EN-US">Data valuation for fairness-aware FL</span> <o:p></o:p></li></ol>
<ol style="margin-top:0cm;padding-inline-start: 2.5em;caret-color: rgb(33, 33, 33);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-stroke-width: 0px;word-spacing:0px" start="7" type="1">
<li class="MsoNormal" style="color:#212121;mso-list:l12 level1 lfo7"><span lang="EN-US">Federated machine unlearning</span> <o:p></o:p></li></ol>
<ol style="margin-top:0cm;padding-inline-start: 2.5em;caret-color: rgb(33, 33, 33);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-stroke-width: 0px;word-spacing:0px" start="8" type="1">
<li class="MsoNormal" style="color:#212121;mso-list:l3 level1 lfo8"><span lang="EN-US">Federated transfer learning</span> <o:p></o:p></li></ol>
<ol style="margin-top:0cm;padding-inline-start: 2.5em;caret-color: rgb(33, 33, 33);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-stroke-width: 0px;word-spacing:0px" start="9" type="1">
<li class="MsoNormal" style="color:#212121;mso-list:l13 level1 lfo9"><span lang="EN-US">Malicious attacks and defense in FL</span> <o:p></o:p></li></ol>
<ol style="margin-top:0cm;padding-inline-start: 2.5em;caret-color: rgb(33, 33, 33);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-stroke-width: 0px;word-spacing:0px" start="10" type="1">
<li class="MsoNormal" style="color:#212121;mso-list:l1 level1 lfo10"><span lang="EN-US">Optimization strategies in large scale FL</span> <o:p></o:p></li></ol>
<ol style="margin-top:0cm;padding-inline-start: 2.5em;caret-color: rgb(33, 33, 33);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-stroke-width: 0px;word-spacing:0px" start="11" type="1">
<li class="MsoNormal" style="color:#212121;mso-list:l6 level1 lfo11"><span lang="EN-US">Privacy-preserving techniques in FL</span> <o:p></o:p></li></ol>
<ol style="margin-top:0cm;padding-inline-start: 2.5em;caret-color: rgb(33, 33, 33);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-stroke-width: 0px;word-spacing:0px" start="12" type="1">
<li class="MsoNormal" style="color:#212121;mso-list:l8 level1 lfo12"><span lang="EN-US">Optimization strategies and reliability in scalable fair-FL systems</span> <o:p></o:p></li></ol>
<ol style="margin-top:0cm;padding-inline-start: 2.5em;caret-color: rgb(33, 33, 33);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-stroke-width: 0px;word-spacing:0px" start="13" type="1">
<li class="MsoNormal" style="color:#212121;mso-list:l11 level1 lfo13"><span lang="EN-US">Algorithms for training and finetuning large language models (LLMs) in fair FL.</span> <o:p></o:p></li></ol>
<ol style="margin-top:0cm;padding-inline-start: 2.5em;caret-color: rgb(33, 33, 33);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-stroke-width: 0px;word-spacing:0px" start="14" type="1">
<li class="MsoNormal" style="color:#212121;mso-list:l15 level1 lfo14"><span lang="EN-US">Algorithms for fairness in FL training of foundation models in.</span> <o:p></o:p></li></ol>
<p class="MsoNormal" style="caret-color: rgb(33, 33, 33);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-stroke-width: 0px;word-spacing:0px">
<span lang="EN-US" style="color:#212121">Successful papers should propose novel ideas to attack such problems through rigorous problem analysis, system design, and experimental evaluation.</span><span style="color:#212121"> <o:p></o:p></span></p>
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<span style="color:#212121"> <o:p></o:p></span></p>
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<span lang="EN-US" style="color:#212121">== Submission Information: </span><span style="color:#212121"> <o:p></o:p></span></p>
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<span style="color:#212121"> <o:p></o:p></span></p>
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<li class="MsoNormal" style="color:#212121;mso-list:l10 level1 lfo15"><span lang="EN-US">Website:<span class="apple-converted-space"> </span></span><a href="https://easychair.org/conferences/?conf=cai2025" target="_blank" title="https://easychair.org/conferences/?conf=cai2025"><span lang="EN-US" style="color:#96607D">https://easychair.org/conferences/?conf=cai2025</span></a><span class="apple-converted-space"><span lang="EN-US"> </span></span><span lang="EN-US">-
Track: “Workshop on Fairness-Aware Federated Optimization and Learning”</span> <o:p></o:p></li></ul>
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<li class="MsoNormal" style="color:#212121;mso-list:l4 level1 lfo16"><span lang="EN-US">Full paper submission NEW deadline: 10 March, 2025</span> <o:p></o:p></li></ul>
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<span lang="EN-US" style="color:#212121">We look forward to your submissions and participation.</span><span style="color:#212121"> <o:p></o:p></span></p>
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<span lang="EN-US" style="color:#212121">Warm regards,</span><span style="color:#212121"> <o:p></o:p></span></p>
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<span style="color:#212121"> <o:p></o:p></span></p>
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<span lang="EN-US" style="color:#212121">The Workshop Organizers </span><span style="color:#212121"> <o:p></o:p></span></p>
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<span lang="EN-US" style="color:#212121">2025 IEEE Conference on Artificial Intelligence (IEEE CAI) </span><span style="color:#212121"> <o:p></o:p></span></p>
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<span lang="IT" style="color:#212121">Santa Clara, California, USA <br>
May 5-7, 2025 <o:p></o:p></span></p>
<p class="MsoNormal"><span lang="IT"><o:p> </o:p></span></p>
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