A Multi-agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning

9 January 2022

Papers citing "A Multi-agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning"

22 / 22 papers shown

Title
Tool-Aided Evolutionary LLM for Generative Policy Toward Efficient Resource Management in Wireless Federated Learning Chongyang Tan Ruoqi Wen Rongpeng Li Zhifeng Zhao Ekram Hossain Honggang Zhang 36 0 0 16 May 2025
Small-Scale-Fading-Aware Resource Allocation in Wireless Federated Learning Jiacheng Wang Le Liang Hao Ye Chongtao Guo Shi Jin 54 0 0 06 May 2025
ReeM: Ensemble Building Thermodynamics Model for Efficient HVAC Control via Hierarchical Reinforcement Learning Yang Deng Yaohui Liu Rui Liang Dafang Zhao Donghua Xie Ittetsu Taniguchi Dan Wang AI4CE 240 0 0 05 May 2025
On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations Guojun Xiong Shufan Wang Daniel Jiang Jian Li FedML 83 1 0 22 Nov 2024
Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective Khiem H. Le Nhan Luong-Ha Manh Nguyen-Duc Danh Le-Phuoc Cuong D. Do Kok-Seng Wong FedML 47 1 0 30 May 2024
FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization Zhiyuan Ning Chunlin Tian Meng Xiao Wei Fan Pengyang Wang Li Li P. Wang Yuanchun Zhou 39 7 0 10 May 2024
Ranking-based Client Selection with Imitation Learning for Efficient Federated Learning Chunlin Tian Zhanying Shi Xinpeng Qin Li Li Chengzhong Xu FedML 36 2 0 07 May 2024
FLASH-RL: Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning Sofiane Bouaziz Hadjer Benmeziane Youcef Imine Leila Hamdad Smail Niar Hamza Ouarnoughi 40 2 0 12 Nov 2023
Honest Score Client Selection Scheme: Preventing Federated Learning Label Flipping Attacks in Non-IID Scenarios Yanli Li Huaming Chen Wei Bao Zhengmeng Xu Dong Yuan AAML 39 5 0 10 Nov 2023
Near-optimal Differentially Private Client Selection in Federated Settings Syed Eqbal Alam Dhirendra Shukla Shrisha Rao FedML 21 3 0 13 Oct 2023
Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction Hanhan Zhou Tian-Shing Lan Guru Venkataramani Wenbo Ding 42 28 0 12 Oct 2023
Arena: A Learning-based Synchronization Scheme for Hierarchical Federated Learning--Technical Report Tianyu Qi Yufeng Zhan Peng Li Jingcai Guo Yuanqing Xia FedML 43 12 0 20 Aug 2023
FedDRL: A Trustworthy Federated Learning Model Fusion Method Based on Staged Reinforcement Learning Leiming Chen Kai Wang Cihao Dong Sibo Qiao Ziling Huang Yuming Nie Zhaoxiang Hou C. Tan FedML 34 2 0 25 Jul 2023
Fairness and Privacy-Preserving in Federated Learning: A Survey Taki Hasan Rafi Faiza Anan Noor Tahmid Hussain Dong-Kyu Chae FedML 48 40 0 14 Jun 2023
FedZero: Leveraging Renewable Excess Energy in Federated Learning Philipp Wiesner R. Khalili Dennis Grinwald Pratik Agrawal L. Thamsen O. Kao 39 16 0 24 May 2023
Stochastic Distributed Optimization under Average Second-order Similarity: Algorithms and Analysis Dachao Lin Yuze Han Haishan Ye Zhihua Zhang 27 11 0 15 Apr 2023
Advancements in Federated Learning: Models, Methods, and Privacy Hui Chen Huandong Wang Qingyue Long Depeng Jin Yong Li FedML 51 14 0 22 Feb 2023
When Do Curricula Work in Federated Learning? Saeed Vahidian Sreevatsank Kadaveru Woo-Ram Baek Weijia Wang Vyacheslav Kungurtsev Chong Chen M. Shah Bill Lin FedML 48 11 0 24 Dec 2022
SphereFed: Hyperspherical Federated Learning Xin Dong Shanghang Zhang Ang Li H. T. Kung FedML 47 19 0 19 Jul 2022
FedHeN: Federated Learning in Heterogeneous Networks D. A. E. Acar Venkatesh Saligrama FedML 29 1 0 07 Jul 2022
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 214 547 0 30 Mar 2020
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 176 764 0 28 Sep 2019