FedCLCC: A personalized federated learning algorithm for edge cloud collaboration based on contrastive learning and conditional computing
Federated learning (FL) is a distributed machine learning paradigm for edge cloud computing. FL can facilitate data-driven decision-making in tactical scenarios, effectively addressing both data volume and infrastructure challenges in edge environments. However, the diversity of clients in edge clou...
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Main Authors: | Kangning Yin, Xinhui Ji, Yan Wang, Zhiguo Wang |
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Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2025-01-01
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Series: | Defence Technology |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2214914724002009 |
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