A review article that organizes communication-efficient and privacy-preserving on-device federated learning methods into three exchange modes and illustrates seven example frameworks.
Federated machine learn- ing: Concept and applications,
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Distilling On-Device Intelligence at the Network Edge
A review article that organizes communication-efficient and privacy-preserving on-device federated learning methods into three exchange modes and illustrates seven example frameworks.