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

Author:

Zhu KonglinORCID,Zhang Fuchun,Jiao Lei,Xue Bowei,Zhang Lin

Publisher

Elsevier BV

Reference38 articles.

1. Advances and open problems in federated learning;Kairouz,2019

2. Communication-efficient learning of deep networks from decentralized data;McMahan,2017

3. Can decentralized algorithms outperform centralized algorithms? A case study for decentralized parallel stochastic gradient descent;Lian,2017

4. Federated learning: Strategies for improving communication efficiency;Konečnỳ,2016

5. Federated learning for wireless communications: Motivation, opportunities, and challenges;Niknam;IEEE Commun. Mag.,2020

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