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<p align="center" style="margin-bottom:8pt;text-align:center;line-height:115%"><b><span style="font-size:18pt;line-height:115%;font-family:"Aptos",sans-serif;color:black">The 2nd International Conference on
</span></b><b><span style="font-size:18pt;line-height:115%;font-family:"Aptos",sans-serif;color:red">Federated Learning Technologies and Applications</span></b><b><span style="font-size:18pt;line-height:115%;font-family:"Aptos",sans-serif;color:black"> </span></b><span style="font-size:18pt;line-height:115%;font-family:"Aptos",sans-serif;color:black">(FLTA2024).</span></p>
<p align="center" style="text-align:center;line-height:115%">
<span style="font-size:14pt;line-height:115%;font-family:"Aptos",sans-serif;color:black"><a href="https://flta-conference.org/" target="_blank">https://<span>flta</span>-conference.org/</a></span><u></u><u></u></p>
<p align="center" style="margin-bottom:8pt;text-align:center;line-height:115%">
<b><span style="font-size:14pt;line-height:115%;font-family:"Aptos",sans-serif;color:rgb(58,58,58)">17-20 September 2024. Valencia, Spain.</span></b></p><p align="center" style="margin-bottom:8pt;text-align:center;line-height:115%">
</p><p class="MsoNormal" align="center" style="text-align:center;line-height:106%;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:13.5pt;line-height:106%;color:red">Technically Co-Sponsored by IEEE </span>
<span style="font-size:13.5pt;line-height:106%;color:red">Spain Section </span><span style="font-size:12pt;line-height:106%"><span></span></span></p>
<p style="margin-bottom:8pt;text-align:justify;line-height:16.2pt;background:white">
<span style="font-size:12pt;color:black">Federated Learning, AI/ML new
frontier, is a revolutionary technology in decentralized systems that
enables privacy-preserving distributed Machine Learning. It is now
playing a significant role in Edge Intelligence
and pioneering several applications such as Healthcare and Medical
Research, Smart Cities and Industry 4.0, Automotive and Mobility
Services, beyond 5G\6G applications, and much more. It promises to move
the learning to the network edge, closer to the data
allocation. This trend enables real-time decision-making, Data privacy
preservation, and elastic scalability and efficiency. In essence, FL
leads to sustainability in data privacy and security of large-scale data
analytics. This conference aims to attract
the work of researchers and practitioners in Federated Learning to
share and exchange their experiences and research studies in both
academia and industry.</span><span style="font-size:11pt"><u></u><u></u></span></p>
<p style="margin-bottom:8pt;text-align:justify;line-height:16.2pt;background:white">
<span style="font-size:12pt;color:black"><span>FLTA</span>
2024 aims to provide attendees with a comprehensive understanding of FL
communication, computing, and system requirements. Through keynote
speeches, panel discussions, and presentations, attendees can engage
with
leading experts and learn about the latest developments and future
trends in the field.</span><span style="font-size:11pt"><u></u><u></u></span></p>
<p style="margin-bottom:8pt;text-align:justify;line-height:115%"><span style="font-size:12pt;line-height:115%;color:black">Researchers are encouraged to submit original research contributions in all major areas, which include, but are not limited to:</span><span style="font-size:11pt;line-height:115%"><u></u><u></u></span></p>
<p style="margin-bottom:8pt;line-height:30pt"><span style="font-size:12pt;color:black">
</span><b><span style="font-size:14pt;color:rgb(68,114,196)">SCOPE</span></b><u></u><u></u></p>
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<p style="line-height:16.2pt"><span style="font-size:12pt;color:black">Federated learning frameworks</span><span style="font-size:12pt;font-family:"Aptos",sans-serif"><u></u><u></u></span></p>
<p style="line-height:16.2pt"><span style="font-size:12pt;color:black">Federated learning architectures</span><span style="font-size:12pt;font-family:"Aptos",sans-serif"><u></u><u></u></span></p>
<p style="line-height:16.2pt"><span style="font-size:12pt;color:black">Federated learning algorithms</span><span style="font-size:12pt;font-family:"Aptos",sans-serif"><u></u><u></u></span></p>
<p style="line-height:16.2pt"><span style="font-size:12pt;color:black"> </span><span style="font-size:12pt;font-family:"Aptos",sans-serif"><u></u><u></u></span></p>
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<td width="334" valign="top" style="width:250.15pt;padding:0cm 5.4pt;height:64.8pt;word-break:break-word;box-sizing:border-box">
<p style="line-height:16.2pt"><span style="font-size:12pt;color:black">Privacy-preserving AI & Edge AI</span><span style="font-size:12pt;font-family:"Aptos",sans-serif"><u></u><u></u></span></p>
<p style="text-align:justify;line-height:16.2pt"><span style="font-size:12pt;color:black">Distributed Machine Learning</span><span style="font-size:12pt;font-family:"Aptos",sans-serif"><u></u><u></u></span></p>
<p style="text-align:justify;line-height:16.2pt"><span style="font-size:12pt;color:black">Secure and Trustworthy AI\ML</span><span style="font-size:12pt;font-family:"Aptos",sans-serif"><u></u><u></u></span></p>
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<p style="margin-bottom:8pt;line-height:30pt"><b><span style="font-size:14pt;color:black"> </span></b><b><span style="font-size:14pt;color:rgb(68,114,196)">TOPICS OF INTEREST</span></b><u></u><u></u></p>
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<p style="line-height:16.2pt"><span style="font-size:12pt;color:black">Federated Learning Communication-efficiency</span><span style="font-size:12pt;font-family:"Aptos",sans-serif"><u></u><u></u></span></p>
<p style="line-height:16.2pt"><span style="font-size:12pt;color:black">Federated Learning modelling and simulation</span><span style="font-size:12pt;font-family:"Aptos",sans-serif"><u></u><u></u></span></p>
<p style="line-height:16.2pt"><span style="font-size:12pt;color:black">Federated Learning datasets and benchmarking</span><span style="font-size:12pt;font-family:"Aptos",sans-serif"><u></u><u></u></span></p>
<p style="line-height:16.2pt"><span style="font-size:12pt;color:black">Federated Learning new trends & open Challenges</span><span style="font-size:12pt;font-family:"Aptos",sans-serif"><u></u><u></u></span></p>
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<p style="text-align:justify;line-height:16.2pt"><span style="font-size:12pt;color:black">FL Associated Technologies</span><span style="font-size:12pt;font-family:"Aptos",sans-serif"><u></u><u></u></span></p>
<p style="text-align:justify;line-height:16.2pt"><span style="font-size:12pt;color:black">FL Aggregation Algorithms</span><span style="font-size:12pt;font-family:"Aptos",sans-serif"><u></u><u></u></span></p>
<p style="text-align:justify;line-height:16.2pt"><span style="font-size:12pt;color:black">FL Applications, use cases, scenarios</span><span style="font-size:12pt;font-family:"Aptos",sans-serif"><u></u><u></u></span></p>
<p style="text-align:justify;line-height:16.2pt"><span style="font-size:12pt;color:black">FL security and efficiancy</span><span style="font-size:12pt;font-family:"Aptos",sans-serif"><u></u><u></u></span></p>
<p style="text-align:justify;line-height:16.2pt"><span style="font-size:12pt;color:black"> </span><span style="font-size:12pt;font-family:"Aptos",sans-serif"><u></u><u></u></span></p>
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<p style="text-align:justify;background:white"><b><span style="font-size:14pt;color:red">Publication</span></b><span style="font-size:11pt"><u></u><u></u></span></p>
<p style="text-align:justify;line-height:16.2pt;background:white"><b><span style="font-size:12pt;color:black">IEEE is a technical sponsor of <span>FLTA</span> 2024</span></b><span style="font-size:12pt;color:black">. All accepted papers in <span>FLTA</span>
2024 and the workshops
co-located with it will be submitted to IEEEXplore, DBLP, and Scopus
for inclusion. Also, all the best paper nominees will be invited to Q1
journals.</span><span style="font-size:11pt"><u></u><u></u></span></p><span style="font-size:11pt"></span>
<p style="text-align:justify;background:white"><b><span style="font-size:14pt;color:red">Important dates</span></b><span style="font-size:11pt"><u></u><u></u></span></p>
<ul style="margin-top:0cm" type="disc"><li class="MsoNormal" style="color:black;background:white">
<span style="font-size:12pt">Paper submission deadline: </span><b><span style="font-size:12pt;color:red">May 31, 2024</span></b><span style="font-size:12pt;color:red"> (Extended Deadline)</span><span style="font-size:12pt"><u></u><u></u></span></li><li class="MsoNormal" style="color:black;background:white">
<span style="font-size:12pt">Notification of paper acceptance: July 15, 2024</span><span style="font-size:12pt;font-family:"Aptos",sans-serif"><u></u><u></u></span></li><li class="MsoNormal" style="color:black;background:white">
<span style="font-size:12pt">Submission of camera-ready papers due: August 10, 2024</span><span style="font-size:12pt;font-family:"Aptos",sans-serif"><u></u><u></u></span></li></ul>
<p style="background:white"><span style="font-size:14pt;color:black">Please send any inquiry on <span>FLTA</span> to:
<a href="mailto:info@flta-conference.org" target="_blank">info@<span>flta</span>-conference.org</a> </span></p>
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