Day 2 Lightning Talks: Federated Optimization and Analytics

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United States Google TechTalks
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Published on ● Video Link: https://www.youtube.com/watch?v=0kBHWBxAtMM


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A Google TechTalk, Lightning Talks presented by 7 Speakers, 2021/11/9
ABSTRACT: Each talk is 7 min. plus Q&A.

Track 2 - Session Chair: Sean Augenstein (Federated Optimization & Analytics)
1. Athina Markopoulou - Location Leakage in Federated Signal Maps
2. Eugene Bagdasaryan - Federated Analytics: Building Location Heatmaps under Distributed Differential Privacy with Secure Aggregation
3. Jae Hun Ro - FedJAX: Federated Learning Simulation with JAX
4. Giulia Fanti - Reducing the Communication Cost of Federated Learning through Multistage Optimization
5. Ankit Rawat - FedLite: A Scalable Approach for Federated Learning on Resource-constrained Clients
6. Yang Liu - Federated Learning of Larger Server Models via Selective Knowledge Fusion
7. Marco Canini - Resource-Efficient Federated Learning

For talk abstracts and speaker bios, please see https://events.withgoogle.com/2021-workshop-on-federated-learning-and-analytics/speakers/#content

For more information about the workshop: https://events.withgoogle.com/2021-workshop-on-federated-learning-and-analytics/#content



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