arXiv Machine Learning July 21, 2026 By Ferdous Pervej, Minseok Choi, Andreas F. Molisch

Online-Score-Aided Federated Learning for Resource-Constrained Wireless Clients with Continual Data Arrival

Read the original on arXiv Machine Learning →

arXiv:2408. 05886v5 Announce Type: replace Abstract: Heterogeneous system configurations of distributed clients connected to the central server (CS) via a time-varying wireless network pose significant challenges for popular distributed machine learning (ML) algorithms such as federated learning (FL).

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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