Federated Learning One World Seminar

March 22, 2023 @ 5pm Coordinated Universal Time (UTC)

Berivan Isik (Stanford)

Sparse Random Networks for Communication-Efficient Federated Learning

host: Peter Richtárik

Federated Learning One World (FLOW) seminar provides a global online forum for the dissemination of the latest scientific research results in all aspects of federated learning, including distributed optimization, learning algorithms, privacy, cryptography, personalization, communication compression, systems, hardware, and new generation models. The talks will address the theoretical foundations of the field, as well as applications, datasets, benchmarking, software, hardware and systems.


Time and Format

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