Federated Learning with Matched Averaging

International Conference on Learning Representations (ICLR), 2020

15 February 2020

Hongyi Wang

Mikhail Yurochkin

Yuekai Sun

Dimitris Papailiopoulos

Y. Khazaeni

FedML

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Papers citing "Federated Learning with Matched Averaging"

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FedNAR: Federated Optimization with Normalized Annealing RegularizationNeural Information Processing Systems (NeurIPS), 2023 Junbo Li Ang Li Chong Tian Qirong Ho Eric Xing Hongyi Wang FedML 87 6 0 04 Oct 2023
FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient DescentInternational Conference on Learning Representations (ICLR), 2023 Ziyao Wang Jianyu Wang Ang Li FedML 154 5 0 04 Oct 2023
AdaMerging: Adaptive Model Merging for Multi-Task LearningInternational Conference on Learning Representations (ICLR), 2023 Enneng Yang Zhenyi Wang Li Shen Shiwei Liu Guibing Guo Xingwei Wang Dacheng Tao MoMe 208 166 0 04 Oct 2023
Fusing Models with Complementary ExpertiseInternational Conference on Learning Representations (ICLR), 2023 Hongyi Wang Felipe Maia Polo Yuekai Sun Souvik Kundu Eric Xing Mikhail Yurochkin FedML MoMe 258 39 0 02 Oct 2023
Robot Fleet Learning via Policy MergingInternational Conference on Learning Representations (ICLR), 2023 Lirui Wang Kaiqing Zhang Allan Zhou Max Simchowitz Russ Tedrake 270 5 0 02 Oct 2023
FedLPA: One-shot Federated Learning with Layer-Wise Posterior AggregationNeural Information Processing Systems (NeurIPS), 2023 Xiang Liu Liangxi Liu Feiyang Ye Yunheng Shen Xia Li Linshan Jiang Jialin Li 261 9 0 30 Sep 2023
Accelerating Non-IID Federated Learning via Heterogeneity-Guided Client SamplingNeural Information Processing Systems (NeurIPS), 2023 Huancheng Chen H. Vikalo FedML 85 2 0 30 Sep 2023
Deep Model Fusion: A Survey Weishi Li Yong Peng Miao Zhang Liang Ding Han Hu Li Shen FedML MoMe 197 79 0 27 Sep 2023
Bayesian Personalized Federated Learning with Shared and Personalized Uncertainty Representations Hui Chen Hengyu Liu LongBing Cao Tiancheng Zhang FedML 148 4 0 27 Sep 2023
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated LearningNeural Information Processing Systems (NeurIPS), 2023 Kangyang Luo Shuai Wang Y. Fu Xiang Li Yunshi Lan Minghui Gao FedML 142 39 0 24 Sep 2023
Federated Learning with Neural Graphical Models Urszula Chajewska H. Shrivastava FedML 110 2 0 20 Sep 2023
Clustered FedStack: Intermediate Global Models with Bayesian Information CriterionPattern Recognition Letters (PR), 2023 T. Shaik Xiaohui Tao Lin Li Niall Higgins R. Gururajan Xujuan Zhou Jianming Yong FedML 138 7 0 20 Sep 2023
Learning From Drift: Federated Learning on Non-IID Data via Drift Regularization Yeachan Kim Bonggun Shin FedML 137 2 0 13 Sep 2023
Tackling the Non-IID Issue in Heterogeneous Federated Learning by Gradient HarmonizationIEEE Signal Processing Letters (IEEE SPL), 2023 Xinyu Zhang Weiyu Sun Ying-Cong Chen FedML 183 9 0 13 Sep 2023
REFT: Resource-Efficient Federated Training Framework for Heterogeneous and Resource-Constrained Environments Humaid Ahmed Desai Amr B. Hilal Hoda Eldardiry 90 1 0 25 Aug 2023
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated LearningComputer Vision and Pattern Recognition (CVPR), 2023 Gihun Lee Minchan Jeong Sangmook Kim Jaehoon Oh Se-Young Yun FedML 193 11 0 24 Aug 2023
A Survey for Federated Learning Evaluations: Goals and MeasuresIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023 Di Chai Leye Wang Liu Yang Junxue Zhang Kai Chen Qian Yang ELM FedML 153 29 0 23 Aug 2023
GradientCoin: A Peer-to-Peer Decentralized Large Language Models Yeqi Gao Zhao Song Junze Yin 125 21 0 21 Aug 2023
Rethinking Client Drift in Federated Learning: A Logit Perspective Yu-bao Yan Chun-Mei Feng Senior Member Ieee Wangmeng Zuo Senior Member Ieee Mang Ye Mong Goh Ping Li Rick Siow Lei Zhu F. I. C. L. Philip Chen FedML 151 10 0 20 Aug 2023
FLIPS: Federated Learning using Intelligent Participant SelectionInternational Middleware Conference (Middleware), 2023 R. Bhope K.R. Jayaram N. Venkatasubramanian Ashish Verma Gegi Thomas FedML 198 5 0 07 Aug 2023
Cross-Silo Prototypical Calibration for Federated Learning with Non-IID DataACM Multimedia (ACM MM), 2023 Zhuang Qi Lei Meng Zitan Chen Han Hu Hui Lin Xiangxu Meng FedML 139 38 0 07 Aug 2023
Differential Privacy for Adaptive Weight Aggregation in Federated Tumor Segmentation Muhammad Irfan Khan E. Alhoniemi Elina Kontio Suleiman A. Khan Mojtaba Jafaritadi FedML 44 1 0 01 Aug 2023
Federated Learning for Data and Model Heterogeneity in Medical Imaging Hussain Ahmad Madni Rao Muhammad Umer G. Foresti FedML 116 7 0 31 Jul 2023
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental DesignIEEE Transactions on Artificial Intelligence (IEEE TAI), 2023 Mahdi Morafah Weijia Wang Bill Lin FedML 143 14 0 28 Jul 2023
CorrFL: Correlation-Based Neural Network Architecture for Unavailability Concerns in a Heterogeneous IoT EnvironmentIEEE Transactions on Network and Service Management (TNSM), 2023 I. Shaer Abdallah Shami 83 9 0 22 Jul 2023
MAS: Towards Resource-Efficient Federated Multiple-Task LearningIEEE International Conference on Computer Vision (ICCV), 2023 Weiming Zhuang Yonggang Wen Lingjuan Lyu Shuai Zhang FedML 135 19 0 21 Jul 2023
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency Jiawei Shao Zijian Li Wenqiang Sun Tailin Zhou Yuchang Sun Lumin Liu Zehong Lin Yuyi Mao Jun Zhang FedML 214 36 0 20 Jul 2023
Federated Learning for Computationally-Constrained Heterogeneous Devices: A SurveyACM Computing Surveys (ACM Comput. Surv.), 2023 Kilian Pfeiffer Martin Rapp R. Khalili J. Henkel FedML 127 83 0 18 Jul 2023
Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature ConnectivityNeural Information Processing Systems (NeurIPS), 2023 Zhanpeng Zhou Yongyi Yang Xiaojiang Yang Junchi Yan Wei Hu 194 44 0 17 Jul 2023
Layer-wise Linear Mode ConnectivityInternational Conference on Learning Representations (ICLR), 2023 Linara Adilova Maksym Andriushchenko Michael Kamp Asja Fischer Martin Jaggi FedML FAtt MoMe 261 19 0 13 Jul 2023
Combating Data Imbalances in Federated Semi-supervised Learning with Dual RegulatorsAAAI Conference on Artificial Intelligence (AAAI), 2023 Sikai Bai Shuaicheng Li Weiming Zhuang Jie Zhang Song Guo Kunlin Yang Jun Hou Shuai Zhang Junyu Gao Shuai Yi FedML 136 13 0 11 Jul 2023
TL-nvSRAM-CIM: Ultra-High-Density Three-Level ReRAM-Assisted Computing-in-nvSRAM with DC-Power Free Restore and Ternary MAC Operations Dengfeng Wang Liu Xu Songyuan Liu Zhi Li Yiming Chen Weifeng He Xueqing Li Yanan Sun 48 2 0 06 Jul 2023
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives Moming Duan Qinbin Li Linshan Jiang Bingsheng He FedML 273 5 0 05 Jul 2023
FedNoisy: Federated Noisy Label Learning Benchmark Siqi Liang Jintao Huang Junyuan Hong Dun Zeng Jiayu Zhou Zenglin Xu FedML 367 10 0 20 Jun 2023
Structured Cooperative Learning with Graphical Model PriorsInternational Conference on Machine Learning (ICML), 2023 Shuang-Yang Li Wanrong Zhu Xinmei Tian Dacheng Tao 156 0 0 16 Jun 2023
Fairness and Privacy-Preserving in Federated Learning: A SurveyInformation Fusion (Inf. Fusion), 2023 Taki Hasan Rafi Faiza Anan Noor Tahmid Hussain Dong-Kyu Chae FedML 195 69 0 14 Jun 2023
Privacy Preserving Bayesian Federated Learning in Heterogeneous Settings Disha Makhija Joydeep Ghosh Nhat Ho FedML 118 2 0 13 Jun 2023
Optimizing the Collaboration Structure in Cross-Silo Federated LearningInternational Conference on Machine Learning (ICML), 2023 Wenxuan Bao Haohan Wang Jun Wu Jingrui He FedML 116 34 0 10 Jun 2023
FedWon: Triumphing Multi-domain Federated Learning Without NormalizationInternational Conference on Learning Representations (ICLR), 2023 Weiming Zhuang Lingjuan Lyu 147 12 0 09 Jun 2023
Investigating the Effect of Misalignment on Membership Privacy in the White-box SettingProceedings on Privacy Enhancing Technologies (PoPETs), 2023 Ana-Maria Cretu Daniel Jones Yves-Alexandre de Montjoye Shruti Tople AAML 142 7 0 08 Jun 2023
Personalization Disentanglement for Federated Learning: An explainable perspectiveIEEE International Conference on Multimedia and Expo (ICME), 2023 Peng Yan Guodong Long FedML 114 6 0 06 Jun 2023
TIES-Merging: Resolving Interference When Merging ModelsNeural Information Processing Systems (NeurIPS), 2023 Prateek Yadav Derek Tam Leshem Choshen Colin Raffel Joey Tianyi Zhou MoMe 267 471 0 02 Jun 2023
Federated Learning of Models Pre-Trained on Different Features with Consensus GraphsConference on Uncertainty in Artificial Intelligence (UAI), 2023 Tengfei Ma T. Hoang Jie Chen FedML 95 7 0 02 Jun 2023
Federated Learning in the Presence of Adversarial Client Unavailability Lili Su Ming Xiang Jiaming Xu Pengkun Yang FedML AAML 123 2 0 31 May 2023
An Empirical Study of Federated Learning on IoT-Edge Devices: Resource Allocation and HeterogeneityIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 Kok-Seng Wong Manh Nguyen-Duc Khiem Le-Huy Long Ho-Tuan Cuong Do-Danh Danh Le-Phuoc FedML 114 14 0 31 May 2023
FedDisco: Federated Learning with Discrepancy-Aware CollaborationInternational Conference on Machine Learning (ICML), 2023 Rui Ye Mingkai Xu Jianyu Wang Chenxin Xu Siheng Chen Yanfeng Wang FedML 163 94 0 30 May 2023
Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2023 Yuchao Gu Xintao Wang Jay Zhangjie Wu Yujun Shi Yunpeng Chen ... Shuning Chang Wei Wu Yixiao Ge Ying Shan Mike Zheng Shou DiffM 247 236 0 29 May 2023
Reducing Communication for Split Learning by Randomized Top-k SparsificationInternational Joint Conference on Artificial Intelligence (IJCAI), 2023 Fei Zheng Chaochao Chen Lingjuan Lyu Binhui Yao FedML 135 20 0 29 May 2023
Personalized Dictionary Learning for Heterogeneous DatasetsNeural Information Processing Systems (NeurIPS), 2023 Geyu Liang Naichen Shi Raed Al Kontar Salar Fattahi 121 6 0 24 May 2023
A Federated Learning-based Industrial Health Prognostics for Heterogeneous Edge Devices using Matched Feature ExtractionIEEE Transactions on Automation Science and Engineering (IEEE TASE), 2023 Anushiya Arunan Yan Qin Xiaoli Li Chau Yuen FedML 113 42 0 13 May 2023

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Federated Learning with Matched Averaging

Papers citing "Federated Learning with Matched Averaging"