Dynamic Memory Sparsification

Federated learning is a machine learning technique in a setting where multiple entities collaboratively train a model while keeping their data decentralized, rather than centrally stored. A defining characteristic of federated learning is data heterogeneity. Because client data is decentralized, dat

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