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<!DOCTYPE html>
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<title>Decentralization and Trustworthy Machine Learning in Web3: Methodologies, Platforms, and Applications | Workshop at NeurIPS 2022</title>
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<h1 class="project-name">Decentralization and Trustworthy Machine Learning in Web3: <br> Methodologies, Platforms, and Applications</h1>
<h2 class="project-tagline">Workshop at <a href="https://neurips.cc/">NeurIPS 2022</a><br> In-person, December 3, 2022</h2>
<a href="/DMLW2022/" class="btn">Home</a>
<a href="/DMLW2022/cfp" class="btn">Call for Papers</a>
<a href="/DMLW2022/papers" class="btn">Accepted Papers</a>
<a href="/DMLW2022/schedule" class="btn">Tentative Schedule</a>
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<h1 id="schedule">Tentative Schedule</h1>
<p>This is the tentative schedule of the workshop. All slots are provided
in Central Standard Time (CST) using
a 24h format. Use <a href="https://www.thetimezoneconverter.com">this time zone converter</a> to convert
these times to your local time zone.</p>
<p><b>All accepted papers will have a poster presentation and a SlidesLive video. Please check our workshop page for more details:
<a href="https://nips.cc/virtual/2022/workshop/50001">https://nips.cc/virtual/2022/workshop/50001</a>.</b></p>
<table>
<tbody>
<tr>
<td><strong>Time (CST)</strong></td>
<td><strong>Event</strong></td>
</tr>
<tr>
<td><span style="font-family: monospace;">08:45 - 09:00</span></td>
<td>Introduction and Opening Remarks</td>
</tr>
<tr>
<td><span style="font-family: monospace;">09:00 - 09:30</span></td>
<td><b>Invited Talk #1</b> Elaine Shi: Crypto meets decentralized mechanism design</td>
</tr>
<tr>
<td><span style="font-family: monospace;">09:30 - 10:00</span></td>
<td><b>Invited Talk #2</b> Virginia Smith: Practical Approaches for Private Adaptive Optimization</td>
</tr>
<tr>
<td><span style="font-family: monospace;">10:00 - 10:30</span></td>
<td><b>Invited Talk #3</b> Peter Kairouz: The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning</td>
</tr>
<tr>
<td><span style="font-family: monospace;">10:30 - 11:00</span></td>
<td><b>Invited Talk #4</b> Richard Socher, Swetha Mandava, Zairah Mustahsan: Becoming Data-Centric at You.com - a privacy focussed search engine</td>
</tr>
<tr>
<td width="194px"><span style="font-family: monospace;">11:00 - 11:30</span></td>
<td><b>Invited Talk #5</b> Xi Chen: Decentralized Finance: Delta Hedging Liquidity Positions on AMM</td>
</tr>
<tr>
<td><span style="font-family: monospace;">11:30 - 12:00</span></td>
<td><b>Invited Talk #6</b> Percy Liang: Decentralized Foundation Models</td>
</tr>
<tr>
<td><span style="font-family: monospace;">12:00 - 12:30</span></td>
<td>Morning Poster Session</td>
</tr>
<tr>
<td><span style="font-family: monospace;">12:30 - 14:00</span></td>
<td><em>Lunch Break</em></td>
</tr>
</tbody>
</table>
<table>
<tbody>
<tr>
<td><span style="font-family: monospace;">14:00 - 14:30</span></td>
<td><b>Contributed Talk #1</b> Zishuo Zhao, Xi Chen, Yuan Zhou: Bayesian-Nash-Incentive-Compatible Mechanism for Blockchain Transaction Fee Allocation</td>
</tr>
<tr>
<td><span style="font-family: monospace;">14:30 - 15:00</span></td>
<td><b>Invited Talk #7</b> Xiaoyuan Liu: CoLearn: Decentralized Programming for Decentralized Data Science</td>
</tr>
<tr>
<td width="194px"><span style="font-family: monospace;">15:00 - 15:20</span></td>
<td><b>Contributed Talk #2</b> Nanqing Dong, Jiahao Sun, Zhipeng Wang, Shuoying Zhang, Shuhao Zheng: FLock: Defending Malicious Behaviors in Federated Learning with Blockchain</td>
</tr>
<tr>
<td width="194px"><span style="font-family: monospace;">15:20 - 15:40</span></td>
<td><b>Contributed Talk #3</b> Frédéric Berdoz, Abhishek Singh, Martin Jaggi, Ramesh Raskar: Scalable Collaborative Learning via Representation Sharing</td>
</tr>
<tr>
<td><span style="font-family: monospace;">15:40 - 16:00</span></td>
<td>Afternoon Poster Session</td>
</tr>
<tr>
<td><span style="font-family: monospace;">16:00</span></td>
<td>Closing Remarks</td>
</tr>
</tbody>
</table>
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