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Topology design and graph embedding for decentralized federated learning

Federated learning has been widely employed in many applications to protect the data privacy of participating clients. Although the dataset is decentralized among training devices in federated learning, the model parameters are usually stored in a centralized manner. Centralized federated learning i...

Whakaahuatanga katoa

I tiakina i:
Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua: Yubin Duan, Xiuqi Li, Jie Wu
Hōputu: Artigo
Reo:Inglês
I whakaputaina: Tsinghua University Press 2024-06-01
Rangatū:Intelligent and Converged Networks
Ngā marau:
Urunga tuihono:https://www.sciopen.com/article/10.23919/ICN.2024.0008
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