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Giulia Fanti: Reduce Communication Complexity of Federated Learning

På RISE Learning Machines Seminar den 19 januari 2023 ger Giulia Fanti, Carnegie Mellon University sin presentation: Reducing the Communication Complexity of Federated Learning through Multistage Optimization. Seminariet är på engelska.

–  A fundamental question in FL is how to exploit the benefits of both local and global approaches to achieve near-optimal convergence rates for all heterogeneity regimes. To this end, we propose a federated chaining framework.

Abstract

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Om talaren

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