Conditioning a global FL model on local PCA statistics of client data matches oracle cluster performance across heterogeneous settings and is robust to sparse data with zero added communication.
Federated learning survey: A multi-level taxonomy of aggregation techniques, experimental insights, and future frontiers
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Client-Conditional Federated Learning via Local Training Data Statistics
Conditioning a global FL model on local PCA statistics of client data matches oracle cluster performance across heterogeneous settings and is robust to sparse data with zero added communication.