Bandit-based Communication-Efficient Client Selection Strategies for Federated Learning

14 December 2020

Papers citing "Bandit-based Communication-Efficient Client Selection Strategies for Federated Learning"

30 / 30 papers shown

Title
Seamless Integration: Sampling Strategies in Federated Learning Systems T. Legler Vinit Hegiste Martin Ruskowski FedML 38 1 0 18 Aug 2024
Federated Fairness Analytics: Quantifying Fairness in Federated Learning Oscar Dilley Juan Marcelo Parra Ullauri Rasheed Hussain Dimitra Simeonidou FedML 42 0 0 15 Aug 2024
FedAR: Addressing Client Unavailability in Federated Learning with Local Update Approximation and Rectification Chutian Jiang Hansong Zhou Xiaonan Zhang Shayok Chakraborty FedML 51 1 0 26 Jul 2024
FedMIL: Federated-Multiple Instance Learning for Video Analysis with Optimized DPP Scheduling Ashish Bastola Hao Wang Xiwen Chen Abolfazl Razi 28 0 0 26 Mar 2024
Multi-dimensional Fair Federated Learning Cong Su Guoxian Yu Jun Wang Hui Li Qingzhong Li Han Yu FedML 27 3 0 09 Dec 2023
A Comprehensive Survey On Client Selections in Federated Learning A. Gouissem Z. Chkirbene R. Hamila FedML 11 6 0 12 Nov 2023
Enhanced Federated Optimization: Adaptive Unbiased Sampling with Reduced Variance Dun Zeng Zenglin Xu Yu Pan Xu Luo Qifan Wang Xiaoying Tang FedML 17 1 0 04 Oct 2023
Intelligent Client Selection for Federated Learning using Cellular Automata Nikolaos Pavlidis V. Perifanis Theodoros Panagiotis Chatzinikolaou G. Sirakoulis P. Efraimidis 25 3 0 01 Oct 2023
Federated Learning in UAV-Enhanced Networks: Joint Coverage and Convergence Time Optimization Mariam Yahya S. Maghsudi S. Stańczak 21 3 0 31 Aug 2023
A Four-Pronged Defense Against Byzantine Attacks in Federated Learning Wei Wan Shengshan Hu Minghui Li Jianrong Lu Longling Zhang Leo Yu Zhang Hai Jin AAML FedML 42 20 0 07 Aug 2023
Fairness-Aware Client Selection for Federated Learning Yuxin Shi Zelei Liu Zhuan Shi Han Yu FedML 24 19 0 20 Jul 2023
Fairness and Privacy-Preserving in Federated Learning: A Survey Taki Hasan Rafi Faiza Anan Noor Tahmid Hussain Dong-Kyu Chae FedML 35 39 0 14 Jun 2023
A Systematic Literature Review on Client Selection in Federated Learning Carl Smestad Jingyue Li 20 19 0 08 Jun 2023
Client Selection for Generalization in Accelerated Federated Learning: A Multi-Armed Bandit Approach Dan Ben Ami Kobi Cohen Qing Zhao FedML 32 11 0 18 Mar 2023
Network Anomaly Detection Using Federated Learning William Marfo Deepak K. Tosh Shirley V. Moore FedML 19 14 0 13 Mar 2023
Communication-Efficient Local SGD with Age-Based Worker Selection Feng Zhu Jingjing Zhang Xin Wang 32 1 0 31 Oct 2022
Study of the performance and scalability of federated learning for medical imaging with intermittent clients Judith Sáinz-Pardo Díaz Á. García FedML OOD 24 51 0 18 Jul 2022
DELTA: Diverse Client Sampling for Fasting Federated Learning Lung-Chuang Wang Yongxin Guo Tao R. Lin Xiaoying Tang FedML 23 22 0 27 May 2022
Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection Wei Wan Shengshan Hu Jianrong Lu L. Zhang Hai Jin Yuanyuan He AAML 6 31 0 28 Apr 2022
FLAME: Federated Learning Across Multi-device Environments Hyunsung Cho Akhil Mathur F. Kawsar 16 21 0 17 Feb 2022
Variance-Reduced Heterogeneous Federated Learning via Stratified Client Selection Guangyuan Shen D. Gao Libin Yang Fang Zhou Duanxiao Song Wei Lou Shirui Pan FedML 19 8 0 15 Jan 2022
Multi-Model Federated Learning Neelkamal Bhuyan Sharayu Moharir FedML 11 19 0 07 Jan 2022
FedBalancer: Data and Pace Control for Efficient Federated Learning on Heterogeneous Clients Jaemin Shin Yuanchun Li Yunxin Liu Sung-Ju Lee FedML 17 73 0 05 Jan 2022
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback Boxin Zhao Lingxiao Wang Mladen Kolar Ziqi Liu Qing Cui Jun Zhou Chaochao Chen FedML 34 10 0 28 Dec 2021
Sparsified Secure Aggregation for Privacy-Preserving Federated Learning Irem Ergun Hasin Us Sami Başak Güler FedML 36 26 0 23 Dec 2021
AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep Learning Ayush Chopra Surya Kant Sahu Abhishek Singh Abhinav Java Praneeth Vepakomma Vivek Sharma Ramesh Raskar 32 26 0 02 Dec 2021
Towards Fairness-Aware Federated Learning Yuxin Shi Han Yu Cyril Leung FedML 21 79 0 02 Nov 2021
Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning Jinhyun So Ramy E. Ali Başak Güler Jiantao Jiao Salman Avestimehr FedML 37 77 0 07 Jun 2021
Learning to Satisfy Unknown Constraints in Iterative MPC Monimoy Bujarbaruah Charlott Vallon Francesco Borrelli 11 8 0 09 Jun 2020
Learning Robustness with Bounded Failure: An Iterative MPC Approach Monimoy Bujarbaruah A. Shetty K. Poolla Francesco Borrelli 11 3 0 22 Nov 2019