A Unified Analysis of Federated Learning with Arbitrary Client Participation

31 December 2024

Papers citing "A Unified Analysis of Federated Learning with Arbitrary Client Participation"

50 / 63 papers shown

Title
Trial and Trust: Addressing Byzantine Attacks with Comprehensive Defense Strategy Gleb Molodtsov Daniil Medyakov Sergey Skorik Nikolas Khachaturov Shahane Tigranyan Vladimir Aletov A. Avetisyan Martin Takáč Aleksandr Beznosikov AAML 78 0 0 12 May 2025
Deploying Large AI Models on Resource-Limited Devices with Split Federated Learning Xianke Qiang Hongda Liu Xinran Zhang Zheng Chang Ying-Chang Liang FedML 54 0 0 12 Apr 2025
Exact and Linear Convergence for Federated Learning under Arbitrary Client Participation is Attainable Bicheng Ying Zhe Li Haibo Yang FedML 87 1 0 25 Mar 2025
Generalization in Federated Learning: A Conditional Mutual Information Framework Ziqiao Wang Cheng Long Yongyi Mao FedML 65 1 0 06 Mar 2025
Communication-Efficient Device Scheduling for Federated Learning Using Lyapunov Optimization Jake B. Perazzone Shiqiang Wang Mingyue Ji Kevin S. Chan FedML 94 0 0 01 Mar 2025
Distributed Online Optimization with Stochastic Agent Availability J. Achddou Nicolò Cesa-Bianchi Hao Qiu 83 0 0 25 Nov 2024
ProFL: Performative Robust Optimal Federated Learning Xue Zheng Tian Xie Xuwei Tan Aylin Yener Xueru Zhang Ali Payani Myungjin Lee FedML 61 0 0 23 Oct 2024
Federated brain tumor segmentation: an extensive benchmark Matthis Manthe Stefan Duffner Carole Lartizien OOD FedML 76 5 0 07 Oct 2024
Debiasing Federated Learning with Correlated Client Participation Zhenyu Sun Ziyang Zhang Zheng Xu Gauri Joshi Pranay Sharma Ermin Wei FedML 71 0 0 02 Oct 2024
Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD Jie Hu Yi-Ting Ma Do Young Eun FedML 53 1 0 26 Sep 2024
Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability Ming Xiang Stratis Ioannidis Edmund Yeh Carlee Joe-Wong Lili Su FedML 73 5 0 26 Sep 2024
FedAR: Addressing Client Unavailability in Federated Learning with Local Update Approximation and Rectification Chutian Jiang Hansong Zhou Xiaonan Zhang Shayok Chakraborty FedML 101 1 0 26 Jul 2024
Federated Learning and AI Regulation in the European Union: Who is Responsible? -- An Interdisciplinary Analysis Herbert Woisetschläger Simon Mertel Christoph Krönke R. Mayer Hans-Arno Jacobsen FedML 57 2 0 11 Jul 2024
DRACO: Decentralized Asynchronous Federated Learning over Row-Stochastic Wireless Networks Eunjeong Jeong Marios Kountouris 80 1 0 19 Jun 2024
Privacy Preserving Semi-Decentralized Mean Estimation over Intermittently-Connected Networks R. Saha Mohamed Seif M. Yemini Andrea J. Goldsmith H. Vincent Poor FedML 55 2 0 06 Jun 2024
FedStale: leveraging stale client updates in federated learning Angelo Rodio Giovanni Neglia FedML 58 5 0 07 May 2024
Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation Haibo Yang Pei-Yuan Qiu Prashant Khanduri Minghong Fang Jia Liu FedML 51 2 0 04 May 2024
Empowering Federated Learning with Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics Ming Xiang Stratis Ioannidis Edmund Yeh Carlee Joe-Wong Lili Su FedML 46 2 0 15 Apr 2024
Adaptive Federated Learning in Heterogeneous Wireless Networks with Independent Sampling Jiaxiang Geng Yanzhao Hou Xiaofeng Tao Juncheng Wang Bing Luo FedML 50 0 0 15 Feb 2024
How to Collaborate: Towards Maximizing the Generalization Performance in Cross-Silo Federated Learning Yuchang Sun Marios Kountouris Jun Zhang FedML 61 2 0 24 Jan 2024
Federated Learning with Instance-Dependent Noisy Label Lei Wang Jieming Bian Jie Xu FedML 76 10 0 16 Dec 2023
Distributed Personalized Empirical Risk Minimization Yuyang Deng Mohammad Mahdi Kamani Pouria Mahdavinia M. Mahdavi 45 5 0 26 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 70 29 0 12 Oct 2023
MimiC: Combating Client Dropouts in Federated Learning by Mimicking Central Updates Yuchang Sun Yuyi Mao Jinchao Zhang FedML 50 11 0 21 Jun 2023
A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging Shiqiang Wang Mingyue Ji FedML 55 0 0 06 Jun 2023
Towards Bias Correction of FedAvg over Nonuniform and Time-Varying Communications Ming Xiang Stratis Ioannidis E. Yeh Carlee Joe-Wong Lili Su FedML 37 4 0 01 Jun 2023
Federated Learning in the Presence of Adversarial Client Unavailability Lili Su Ming Xiang Jiaming Xu Pengkun Yang FedML AAML 38 2 0 31 May 2023
Accelerating Hybrid Federated Learning Convergence under Partial Participation Jieming Bian Lei Wang Kun Yang Cong Shen Jie Xu FedML 77 13 0 10 Apr 2023
Delay Sensitive Hierarchical Federated Learning with Stochastic Local Updates Abdulmoneam Ali A. Arafa FedML 70 4 0 09 Feb 2023
Federated Learning with Regularized Client Participation Grigory Malinovsky Samuel Horváth Konstantin Burlachenko Peter Richtárik FedML 46 14 0 07 Feb 2023
On the Convergence of Federated Averaging with Cyclic Client Participation Yae Jee Cho Pranay Sharma Gauri Joshi Zheng Xu Satyen Kale Tong Zhang FedML 73 31 0 06 Feb 2023
DELTA: Diverse Client Sampling for Fasting Federated Learning Lung-Chuang Wang Yongxin Guo Tao R. Lin Xiaoying Tang FedML 76 25 0 27 May 2022
Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond Chulhee Yun Shashank Rajput S. Sra FedML 35 41 0 20 Oct 2021
Anarchic Federated Learning Haibo Yang Xin Zhang Prashant Khanduri Jia Liu FedML 34 58 0 23 Aug 2021
Fast Federated Learning in the Presence of Arbitrary Device Unavailability Xinran Gu Kaixuan Huang Jingzhao Zhang Longbo Huang FedML 47 101 0 08 Jun 2021
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning Yann Fraboni Richard Vidal Laetitia Kameni Marco Lorenzi FedML 48 192 0 12 May 2021
Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning Haibo Yang Minghong Fang Jia Liu FedML 58 258 0 27 Jan 2021
Local SGD: Unified Theory and New Efficient Methods Eduard A. Gorbunov Filip Hanzely Peter Richtárik FedML 69 111 0 03 Nov 2020
Optimal Client Sampling for Federated Learning Jiajun He Samuel Horváth Peter Richtárik FedML 73 200 0 26 Oct 2020
Random Reshuffling: Simple Analysis with Vast Improvements Konstantin Mishchenko Ahmed Khaled Peter Richtárik 62 132 0 10 Jun 2020
Minibatch vs Local SGD for Heterogeneous Distributed Learning Blake E. Woodworth Kumar Kshitij Patel Nathan Srebro FedML 96 202 0 08 Jun 2020
Adaptive Federated Optimization Sashank J. Reddi Zachary B. Charles Manzil Zaheer Zachary Garrett Keith Rush Jakub Konecný Sanjiv Kumar H. B. McMahan FedML 131 1,431 0 29 Feb 2020
Is Local SGD Better than Minibatch SGD? Blake E. Woodworth Kumar Kshitij Patel Sebastian U. Stich Zhen Dai Brian Bullins H. B. McMahan Ohad Shamir Nathan Srebro FedML 60 254 0 18 Feb 2020
Distributed Optimization over Block-Cyclic Data Yucheng Ding Chaoyue Niu Yikai Yan Zhenzhe Zheng Fan Wu Guihai Chen Shaojie Tang Rongfei Jia FedML 88 16 0 18 Feb 2020
Distributed Non-Convex Optimization with Sublinear Speedup under Intermittent Client Availability Yikai Yan Chaoyue Niu Yucheng Ding Zhenzhe Zheng Fan Wu Guihai Chen Shaojie Tang Zhihua Wu FedML 138 38 0 18 Feb 2020
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 181 6,229 0 10 Dec 2019
Lower Bounds for Non-Convex Stochastic Optimization Yossi Arjevani Y. Carmon John C. Duchi Dylan J. Foster Nathan Srebro Blake E. Woodworth 69 357 0 05 Dec 2019
Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization Farzin Haddadpour Mohammad Mahdi Kamani M. Mahdavi V. Cadambe FedML 64 201 0 30 Oct 2019
Federated Learning: Challenges, Methods, and Future Directions Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 107 4,496 0 21 Aug 2019
Lookahead Optimizer: k steps forward, 1 step back Michael Ruogu Zhang James Lucas Geoffrey E. Hinton Jimmy Ba ODL 116 728 0 19 Jul 2019