Client selection for federated learning using combinatorial multi-armed bandit under long-term energy constraint

• Published in: Computer networks (Amsterdam, Netherlands : 1999) Vol. 250; p. 110512
• Main Authors: Zhu, Konglin, Zhang, Fuchun, Jiao, Lei, Xue, Bowei, Zhang, Lin
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.08.2024
• Subjects: Client selection; Combinatorial multi-armed bandit; Federated learning; Lyapunov optimization; Lyapunov optimization; Federated learning; Client selection; Combinatorial multi-armed bandit

In a federated learning system, it is often the case that the more clients it involves, the less increment of the outcome it achieves. It is thus essential to design a client selection strategy to choose an appropriate subset of the clients to participate in federated learning. However, client selec...