Multi-Job Intelligent Scheduling with Cross-Device Federated Learning

Recent years have witnessed a large amount of decentralized data in various (edge) devices of end-users, while the decentralized data aggregation remains complicated for machine learning jobs because of regulations and laws. As a practical approach to handling decentralized data, Federated Learning...

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Bibliographische Detailangaben

Hauptverfasser:	Liu, Ji, Jia, Juncheng, Ma, Beichen, Zhou, Chendi, Zhou, Jingbo, Zhou, Yang, Dai, Huaiyu, Dou, Dejing
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Distributed, Parallel, and Cluster Computing Computer Science - Learning
Online-Zugang:	Volltext bestellen
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