| Session 1 | |
| 8:30 AM - 9:00 AM | Pre-workshop networking on Slack/Zoom
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| 9:00 AM - 9:10 AM | Opening Remarks
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| 9:15 AM - 10:00 AM | Invited Talk 1: Building a New Economy: Federated Learning and Beyond (Alex Pentland)
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| 10:00 AM - 10:15 AM | Contributed Talk 1: A Unified Framework to Understand Decentralized and Federated Optimization Algorithms: A Multi-Rate Feedback Control Perspective
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| 10:15 AM - 10:30 AM | Contributed Talk 2: Personalized Neural Architecture Search for Federated Learning
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| 10:30 AM - 10:45 AM | Contributed Talk 3: Architecture Personalization in Resource-constrained Federated Learning
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| 10:45 AM - 11:30 AM | Invited Talk 2: Permutation Compressor for Provably Faster Distributed Nonconvex Optimization (Peter Richtarik)
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| 11:30 AM - 12:15 PM | Invited Talk 3: Bringing Differential Private SGD to Practice: On the Independence of Gaussian Noise and the Number of Training Rounds (Marten van Dijk)
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| Session 2 | |
| 12:15 PM - 1:00 PM | Virtual lunch break with opportunities for socialization on Slack/Zoom
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| 1:00 PM - 1:45 PM | Invited Talk 4: Fair or Robust: Addressing Competing Constraints in Federated Learning (Virginia Smith)
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| 1:45 PM - 2:00 PM | Contributed Talk 4: Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective
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| 2:00 PM - 2:15 PM | Contributed Talk 5: Efficient and Private Federated Learning with Partially Trainable Networks
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| 2:15 PM - 2:30 PM | Contributed Talk 6: FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning
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| Session 3 | |
| 2:30 PM - 3:30 PM | Poster session with opportunities for socialization on Slack/Zoom
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| 3:30 PM - 4:15 PM | Invited Talk 5: Towards Building a Responsible Data Economy (Dawn Song)
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| 4:15 PM - 5:00 PM | Invited Talk 6: Personalization in Federated Learning: Adaptation and Clustering (Asu Ozdaglar)
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| 5:00 PM - 5:15 PM | Closing Remarks
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| 5:15 PM - 6:00 PM | Post-workshop networking on Slack/Zoom
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