FedACT: An adaptive chained training approach for federated learning in computing power networks

FedACT: An adaptive chained training approach for federated learning in computing power networks

Federated Learning (FL) is a novel distributed machine learning methodology that addresses large-scale parallel computing challenges while safeguarding data security. However, the traditional FL model in communication scenarios, whether for uplink or downlink communications, may give rise to several...

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Bibliographic Details
Main Authors: Min Wei, Qianying Zhao, Bo Lei, Yizhuo Cai, Yushun Zhang, Xing Zhang, Wenbo Wang
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2024-12-01
Series:Digital Communications and Networks
Subjects:
Computing power network (CPN)
Federated learning (FL)
Segment routing IPv6 (SRv6)
Communication overheads
Model accuracy
Online Access:http://www.sciencedirect.com/science/article/pii/S2352864823001839
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