Multi-Armed Bandit Based Client Scheduling for Federated Learning

5 July 2020

Papers citing "Multi-Armed Bandit Based Client Scheduling for Federated Learning"

22 / 22 papers shown

Title
Fair Concurrent Training of Multiple Models in Federated Learning Marie Siew Haoran Zhang Jong-Ik Park Yuezhou Liu Yichen Ruan Lili Su Stratis Ioannidis Edmund Yeh Carlee Joe-Wong FedML 33 3 0 22 Apr 2024
Version age-based client scheduling policy for federated learning Xinyi Hu Nikolaos Pappas Howard H. Yang 28 3 0 08 Feb 2024
Federated Learning in UAV-Enhanced Networks: Joint Coverage and Convergence Time Optimization Mariam Yahya S. Maghsudi S. Stańczak 14 3 0 31 Aug 2023
Revolutionizing Wireless Networks with Federated Learning: A Comprehensive Review Sajjad Emdadi Mahdimahalleh AI4CE 28 0 0 01 Aug 2023
Collaborative Policy Learning for Dynamic Scheduling Tasks in Cloud-Edge-Terminal IoT Networks Using Federated Reinforcement Learning Do-Yup Kim Dami Lee Ji-Wan Kim Hyun-Suk Lee 22 4 0 02 Jul 2023
Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy Kang Wei Jun Li Chuan Ma Ming Ding Feng Shu Haitao Zhao Wen Chen Hongbo Zhu FedML 25 4 0 09 Apr 2023
Flooding with Absorption: An Efficient Protocol for Heterogeneous Bandits over Complex Networks Junghyun Lee Laura Schmid Se-Young Yun 11 0 0 09 Mar 2023
Efficient Node Selection in Private Personalized Decentralized Learning Edvin Listo Zec Johan Ostman Olof Mogren D. Gillblad 19 1 0 30 Jan 2023
Client Selection in Federated Learning: Principles, Challenges, and Opportunities Lei Fu Huan Zhang Ge Gao Mi Zhang Xin Liu FedML 32 115 0 03 Nov 2022
DELTA: Diverse Client Sampling for Fasting Federated Learning Lung-Chuang Wang Yongxin Guo Tao R. Lin Xiaoying Tang FedML 23 21 0 27 May 2022
Semi-Decentralized Federated Learning with Collaborative Relaying M. Yemini R. Saha Emre Ozfatura Deniz Gündüz Andrea J. Goldsmith FedML 34 32 0 23 May 2022
Robust Federated Learning with Connectivity Failures: A Semi-Decentralized Framework with Collaborative Relaying M. Yemini R. Saha Emre Ozfatura Deniz Gündüz Andrea J. Goldsmith FedML 40 8 0 24 Feb 2022
Distributed Bandits with Heterogeneous Agents Lin Yang Y. Chen Mohammad Hajiesmaili John C. S. Lui Don Towsley 45 21 0 23 Jan 2022
Context-Aware Online Client Selection for Hierarchical Federated Learning Zhe Qu Rui Duan Lixing Chen Jie Xu Zhuo Lu Yao-Hong Liu 28 61 0 02 Dec 2021
Power Allocation for Wireless Federated Learning using Graph Neural Networks Boning Li A. Swami Santiago Segarra FedML 55 12 0 15 Nov 2021
Federated Learning over Wireless IoT Networks with Optimized Communication and Resources Student Member Ieee Hao Chen Shaocheng Huang Deyou Zhang Ming Xiao Fellow Ieee Mikael Skoglund L. F. I. H. Vincent Poor 18 94 0 22 Oct 2021
Low-Latency Federated Learning over Wireless Channels with Differential Privacy Kang Wei Jun Li Chuan Ma Ming Ding Cailian Chen Shi Jin Zhu Han H. Vincent Poor FedML 24 73 0 20 Jun 2021
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges Mingzhe Chen Deniz Gündüz Kaibin Huang Walid Saad M. Bennis Aneta Vulgarakis Feljan H. Vincent Poor 26 401 0 05 Apr 2021
Federated Learning: A Signal Processing Perspective Tomer Gafni Nir Shlezinger Kobi Cohen Yonina C. Eldar H. Vincent Poor FedML 21 128 0 31 Mar 2021
Federated Learning under Importance Sampling Elsa Rizk Stefan Vlaski A. H. Sayed FedML 11 51 0 14 Dec 2020
Accurate and Fast Federated Learning via Combinatorial Multi-Armed Bandits Taehyeon Kim Sangmin Bae Jin-woo Lee Se-Young Yun FedML 21 15 0 06 Dec 2020
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 144 1,685 0 14 Apr 2018