Privacy-preserving and communication-efficient stochastic alternating direction method of multipliers for federated learning

DOI10.1016/J.INS.2024.121641MaRDI QIDQ6653450

Qun Xu, Yunfan Lu, Cheng Li, Yi Zhang, Zhe Hu, Fengxia Liu, Zixian Gong

Publication date: 16 December 2024

Published in: Information Sciences (Search for Journal in Brave)

zbMATH Keywords

ADMMstochastic optimizationhomomorphic encryptionfederated learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Stochastic programming (90C15) Data encryption (aspects in computer science) (68P25) Privacy of data (68P27)

Cites Work

• Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
• Enhancing privacy preservation and trustworthiness for decentralized federated learning
• Clustered federated learning based on nonconvex pairwise fusion
• FedGiA: an efficient hybrid algorithm for federated learning

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