Learning-Based Client Selection for Federated Learning Services Over
Wireless Networks with Constrained Monetary Budgets

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Learning-Based Client Selection for Federated Learning Services Over Wireless Networks with Constrained Monetary Budgets

8 August 2022

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Papers citing "Learning-Based Client Selection for Federated Learning Services Over Wireless Networks with Constrained Monetary Budgets"

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Title
Bandwidth Allocation for Multiple Federated Learning Services in Wireless Edge Networks Jie Xu Heqiang Wang Lixing Chen FedML 100 44 0 10 Jan 2021
Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks Minh N. H. Nguyen N. H. Tran Y. Tun Zhu Han Choong Seon Hong FedML 72 50 0 25 Nov 2020
Client Selection and Bandwidth Allocation in Wireless Federated Learning Networks: A Long-Term Perspective Jie Xu Heqiang Wang 50 360 0 09 Apr 2020
Motivating Workers in Federated Learning: A Stackelberg Game Perspective Y. Sarikaya Ozgur Ercetin FedML 57 186 0 06 Aug 2019
Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space Jiechao Xiong Qing Wang Zhuoran Yang Peng Sun Lei Han Yang Zheng Haobo Fu Tong Zhang Ji Liu Han Liu 52 171 0 10 Oct 2018
Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge Takayuki Nishio Ryo Yonetani FedML 127 1,407 0 23 Apr 2018