APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning

Federated learning (FL) enables training models at different sites and updating the weights from the training instead of transferring data to a central location and training as in clas-sical machine learning. The FL capability is especially important to domains such as biomedicine and smart grid, wh...

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Veröffentlicht in:	2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) S. 1074 - 1083
Hauptverfasser:	Ryu, Minseok, Kim, Youngdae, Kim, Kibaek, Madduri, Ravi K.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.05.2022
Schlagworte:	Collaborative work communication-efficient algorithm Data models data privacy federated learning open-source software Protocols Regulation Scalability Software algorithms Training
ISBN:	9781665497480
Online-Zugang:	Volltext
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