Federated Learning with Matched Averaging

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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Title
EvoFed: Leveraging Evolutionary Strategies for Communication-Efficient Federated Learning Mohammad Mahdi Rahimi Hasnain Irshad Bhatti Younghyun Park Humaira Kousar Jaekyun Moon FedML 40 7 0 13 Nov 2023
Federated Learning Across Decentralized and Unshared Archives for Remote Sensing Image Classification Baris Büyüktas Gencer Sumbul Begüm Demir FedML 37 6 0 10 Nov 2023
Federated Learning with Manifold Regularization and Normalized Update Reaggregation Xuming An Li Shen Han Hu Yong Luo FedML 44 4 0 10 Nov 2023
Robust and Communication-Efficient Federated Domain Adaptation via Random Features Zhanbo Feng Yuanjie Wang Jie Li Fan Yang Jiong Lou Tiebin Mi Robert C. Qiu Zhenyu Liao 22 2 0 08 Nov 2023
Federated Learning on Edge Sensing Devices: A Review Berrenur Saylam Ozlem Durmaz Incel 31 1 0 02 Nov 2023
Proving Linear Mode Connectivity of Neural Networks via Optimal Transport Damien Ferbach Baptiste Goujaud Gauthier Gidel Aymeric Dieuleveut MoMe 21 16 0 29 Oct 2023
Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning Wenlong Deng Christos Thrampoulidis Xiaoxiao Li 32 12 0 27 Oct 2023
Filling the Missing: Exploring Generative AI for Enhanced Federated Learning over Heterogeneous Mobile Edge Devices Peichun Li Hanwen Zhang Yuan Wu Liping Qian Rong Yu Dusit Niyato X. Shen 32 25 0 21 Oct 2023
Equivariant Deep Weight Space Alignment Aviv Navon Aviv Shamsian Ethan Fetaya Gal Chechik Nadav Dym Haggai Maron 29 21 0 20 Oct 2023
Whole-brain radiomics for clustered federated personalization in brain tumor segmentation Matthis Manthe Stefan Duffner Carole Lartizien FedML 37 2 0 17 Oct 2023
FedSym: Unleashing the Power of Entropy for Benchmarking the Algorithms for Federated Learning Ensiye Kiyamousavi Boris Kraychev Ivan Koychev FedML 16 0 0 11 Oct 2023
Transformer Fusion with Optimal Transport Moritz Imfeld Jacopo Graldi Marco Giordano Thomas Hofmann Sotiris Anagnostidis Sidak Pal Singh ViT MoMe 32 16 0 09 Oct 2023
On the Convergence of Federated Averaging under Partial Participation for Over-parameterized Neural Networks Xin Liu Wei Tao Dazhi Zhan Yu Pan Xin Ma Yu Ding Zhisong Pan FedML 17 0 0 09 Oct 2023
FedFed: Feature Distillation against Data Heterogeneity in Federated Learning Zhiqin Yang Yonggang Zhang Yuxiang Zheng Xinmei Tian Hao Peng Tongliang Liu Bo Han FedML 30 61 0 08 Oct 2023
FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning Peiran Xu Zeyu Wang Jieru Mei Liangqiong Qu Alan L. Yuille Cihang Xie Yuyin Zhou FedML 27 1 0 06 Oct 2023
FedNAR: Federated Optimization with Normalized Annealing Regularization Junbo Li Ang Li Chong Tian Qirong Ho Eric P. Xing Hongyi Wang FedML 24 5 0 04 Oct 2023
FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent Ziyao Wang Jianyu Wang Ang Li FedML 32 2 0 04 Oct 2023
AdaMerging: Adaptive Model Merging for Multi-Task Learning Enneng Yang Zhenyi Wang Li Shen Shiwei Liu Guibing Guo Xingwei Wang Dacheng Tao MoMe 35 97 0 04 Oct 2023
Fusing Models with Complementary Expertise Hongyi Wang Felipe Maia Polo Yuekai Sun Souvik Kundu Eric P. Xing Mikhail Yurochkin FedML MoMe 25 26 0 02 Oct 2023
Robot Fleet Learning via Policy Merging Lirui Wang Kaiqing Zhang Allan Zhou Max Simchowitz Russ Tedrake 42 4 0 02 Oct 2023
FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation Xiang Liu Liangxi Liu Feiyang Ye Yunheng Shen Xia Li Linshan Jiang Jialin Li 36 4 0 30 Sep 2023
Accelerating Non-IID Federated Learning via Heterogeneity-Guided Client Sampling Huancheng Chen H. Vikalo FedML 8 2 0 30 Sep 2023
Deep Model Fusion: A Survey Weishi Li Yong Peng Miao Zhang Liang Ding Han Hu Li Shen FedML MoMe 36 52 0 27 Sep 2023
Bayesian Personalized Federated Learning with Shared and Personalized Uncertainty Representations Hui Chen Hengyu Liu LongBing Cao Tiancheng Zhang FedML 49 3 0 27 Sep 2023
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning Kangyang Luo Shuai Wang Y. Fu Xiang Li Yunshi Lan Minghui Gao FedML 28 23 0 24 Sep 2023
Federated Learning with Neural Graphical Models Urszula Chajewska H. Shrivastava FedML 20 1 0 20 Sep 2023
Clustered FedStack: Intermediate Global Models with Bayesian Information Criterion T. Shaik Xiaohui Tao Lin Li Niall Higgins R. Gururajan Xujuan Zhou Jianming Yong FedML 27 3 0 20 Sep 2023
Learning From Drift: Federated Learning on Non-IID Data via Drift Regularization Yeachan Kim Bonggun Shin FedML 24 0 0 13 Sep 2023
Tackling the Non-IID Issue in Heterogeneous Federated Learning by Gradient Harmonization Xinyu Zhang Weiyu Sun Ying-Cong Chen FedML 36 5 0 13 Sep 2023
REFT: Resource-Efficient Federated Training Framework for Heterogeneous and Resource-Constrained Environments Humaid Ahmed Desai Amr B. Hilal Hoda Eldardiry 21 0 0 25 Aug 2023
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning Gihun Lee Minchan Jeong Sangmook Kim Jaehoon Oh Se-Young Yun FedML 26 8 0 24 Aug 2023
A Survey for Federated Learning Evaluations: Goals and Measures Di Chai Leye Wang Liu Yang Junxue Zhang Kai Chen Qian Yang ELM FedML 17 21 0 23 Aug 2023
GradientCoin: A Peer-to-Peer Decentralized Large Language Models Yeqi Gao Zhao Song Junze Yin 29 18 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 42 8 0 20 Aug 2023
FLIPS: Federated Learning using Intelligent Participant Selection R. Bhope K.R. Jayaram N. Venkatasubramanian Ashish Verma Gegi Thomas FedML 29 3 0 07 Aug 2023
Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data Zhuang Qi Lei Meng Zitan Chen Han Hu Hui Lin Xiangxu Meng FedML 26 18 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 11 1 0 01 Aug 2023
Federated Learning for Data and Model Heterogeneity in Medical Imaging Hussain Ahmad Madni Rao Muhammad Umer G. Foresti FedML 23 4 0 31 Jul 2023
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design Mahdi Morafah Weijia Wang Bill Lin FedML 35 7 0 28 Jul 2023
CorrFL: Correlation-Based Neural Network Architecture for Unavailability Concerns in a Heterogeneous IoT Environment I. Shaer Abdallah Shami 27 8 0 22 Jul 2023
MAS: Towards Resource-Efficient Federated Multiple-Task Learning Weiming Zhuang Yonggang Wen Lingjuan Lyu Shuai Zhang FedML 30 15 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 43 23 0 20 Jul 2023
Federated Learning for Computationally-Constrained Heterogeneous Devices: A Survey Kilian Pfeiffer Martin Rapp R. Khalili J. Henkel FedML 22 63 0 18 Jul 2023
Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity Zhanpeng Zhou Yongyi Yang Xiaojiang Yang Junchi Yan Wei Hu 39 26 0 17 Jul 2023
Layer-wise Linear Mode Connectivity Linara Adilova Maksym Andriushchenko Michael Kamp Asja Fischer Martin Jaggi FedML FAtt MoMe 33 15 0 13 Jul 2023
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators Sikai Bai Shuaicheng Li Weiming Zhuang Jie Zhang Song Guo Kunlin Yang Jun Hou Shuai Zhang Junyu Gao Shuai Yi FedML 29 6 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 11 0 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 34 4 0 05 Jul 2023
FedNoisy: Federated Noisy Label Learning Benchmark Siqi Liang Jintao Huang Junyuan Hong Dun Zeng Jiayu Zhou Zenglin Xu FedML 40 7 0 20 Jun 2023
Structured Cooperative Learning with Graphical Model Priors Shuang-Yang Li Dinesh Manocha Xinmei Tian Dacheng Tao 38 0 0 16 Jun 2023