Author

M.H. Sreelakshmi

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Open access Jul 2026

Asynchronous proximal federated aggregation for heterogeneous healthcare networks

The proposed Asynchronous Proximal Federated Aggregation framework effectively mitigates weight divergence, indicating the robustness of asynchronous machine learning for scalable, privacy-preserving clinical diagnostics.

M.H. Sreelakshmi, R. Delhibabu · Frontiers in Digital Health · 0 citations