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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"

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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 102 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 60 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 97 1 0 25 Mar 2025
Generalization in Federated Learning: A Conditional Mutual Information Framework Ziqiao Wang Cheng Long Yongyi Mao FedML 89 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 115 0 0 01 Mar 2025
Distributed Online Optimization with Stochastic Agent Availability J. Achddou Nicolò Cesa-Bianchi Hao Qiu 100 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 71 0 0 23 Oct 2024
Federated brain tumor segmentation: an extensive benchmark Matthis Manthe Stefan Duffner Carole Lartizien OOD FedML 84 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 103 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 68 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 83 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 104 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 63 2 0 11 Jul 2024
DRACO: Decentralized Asynchronous Federated Learning over Row-Stochastic Wireless Networks Eunjeong Jeong Marios Kountouris 90 0 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 76 2 0 06 Jun 2024
FedStale: leveraging stale client updates in federated learning Angelo Rodio Giovanni Neglia FedML 63 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 66 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 55 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 58 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 73 2 0 24 Jan 2024
Federated Learning with Instance-Dependent Noisy Label Lei Wang Jieming Bian Jie Xu FedML 83 11 0 16 Dec 2023
Distributed Personalized Empirical Risk Minimization Yuyang Deng Mohammad Mahdi Kamani Pouria Mahdavinia M. Mahdavi 51 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 77 30 0 12 Oct 2023
MimiC: Combating Client Dropouts in Federated Learning by Mimicking Central Updates Yuchang Sun Yuyi Mao Jinchao Zhang FedML 60 12 0 21 Jun 2023
A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging Shiqiang Wang Mingyue Ji FedML 64 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 54 4 0 01 Jun 2023
Federated Learning in the Presence of Adversarial Client Unavailability Lili Su Ming Xiang Jiaming Xu Pengkun Yang FedML AAML 49 2 0 31 May 2023
Accelerating Hybrid Federated Learning Convergence under Partial Participation Jieming Bian Lei Wang Kun Yang Cong Shen Jie Xu FedML 95 14 0 10 Apr 2023
Delay Sensitive Hierarchical Federated Learning with Stochastic Local Updates Abdulmoneam Ali A. Arafa FedML 89 5 0 09 Feb 2023
Federated Learning with Regularized Client Participation Grigory Malinovsky Samuel Horváth Konstantin Burlachenko Peter Richtárik FedML 50 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 88 32 0 06 Feb 2023
DELTA: Diverse Client Sampling for Fasting Federated Learning Lung-Chuang Wang Yongxin Guo Tao R. Lin Xiaoying Tang FedML 88 25 0 27 May 2022
Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond Chulhee Yun Shashank Rajput S. Sra FedML 61 42 0 20 Oct 2021
Anarchic Federated Learning Haibo Yang Xin Zhang Prashant Khanduri Jia Liu FedML 47 58 0 23 Aug 2021
Fast Federated Learning in the Presence of Arbitrary Device Unavailability Xinran Gu Kaixuan Huang Jingzhao Zhang Longbo Huang FedML 65 101 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 63 193 0 12 May 2021
Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning Haibo Yang Minghong Fang Jia Liu FedML 69 261 0 27 Jan 2021
Local SGD: Unified Theory and New Efficient Methods Eduard A. Gorbunov Filip Hanzely Peter Richtárik FedML 82 111 0 03 Nov 2020
Optimal Client Sampling for Federated Learning Jiajun He Samuel Horváth Peter Richtárik FedML 89 201 0 26 Oct 2020
Random Reshuffling: Simple Analysis with Vast Improvements Konstantin Mishchenko Ahmed Khaled Peter Richtárik 89 135 0 10 Jun 2020
Minibatch vs Local SGD for Heterogeneous Distributed Learning Blake E. Woodworth Kumar Kshitij Patel Nathan Srebro FedML 114 204 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 181 1,452 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 74 254 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 98 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 147 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 264 6,285 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 93 363 0 05 Dec 2019
Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization Farzin Haddadpour Mohammad Mahdi Kamani M. Mahdavi V. Cadambe FedML 72 201 0 30 Oct 2019
Federated Learning: Challenges, Methods, and Future Directions Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 129 4,540 0 21 Aug 2019
Lookahead Optimizer: k steps forward, 1 step back Michael Ruogu Zhang James Lucas Geoffrey E. Hinton Jimmy Ba ODL 154 732 0 19 Jul 2019