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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Title
Stochastic Approximation Approach to Federated Machine Learning P. V. Srihari B. Bhikkaji FedML 117 0 0 20 Feb 2024
Scheduling for On-Board Federated Learning with Satellite Clusters N. Razmi Bho Matthiesen Armin Dekorsy P. Popovski FedML AIFin 144 2 0 14 Feb 2024
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing Yongzhe Jia Xuyun Zhang Amin Beheshti Wanchun Dou FedML 110 9 0 13 Feb 2024
Towards Meta-Pruning via Optimal Transport Alexander Theus Olin Geimer Friedrich Wicke Thomas Hofmann Sotiris Anagnostidis Sidak Pal Singh MoMe 194 6 0 12 Feb 2024
Empowering Federated Learning for Massive Models with NVIDIA FLARE Holger R. Roth Ziyue Xu Yuan-Ting Hsieh Adithya Renduchintala Isaac Yang ... Camir Ricketts Daguang Xu Chester Chen Yan Cheng Andrew Feng AI4CE 83 6 0 12 Feb 2024
Flashback: Understanding and Mitigating Forgetting in Federated Learning Mohammed Aljahdali A. Abdelmoniem Marco Canini Samuel Horváth 152 5 0 08 Feb 2024
Analysis of Linear Mode Connectivity via Permutation-Based Weight Matching: With Insights into Other Permutation Search MethodsInternational Conference on Learning Representations (ICLR), 2024 Akira Ito Masanori Yamada Atsutoshi Kumagai MoMe 432 11 0 06 Feb 2024
Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks Yun-Wei Chu Dong-Jun Han Seyyedali Hosseinalipour Christopher G. Brinton AI4CE FedML 113 1 0 03 Feb 2024
Improving Model Fusion by Training-time Neuron Alignment with Fixed Neuron AnchorsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 Zexi Li Zhiqi Li Jie Lin Zhenyuan Zhang Tao Lin Chao Wu Tao Lin Chao Wu 194 5 0 02 Feb 2024
FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units Shaoheng Fang Rui Ye Wenhao Wang Zuhong Liu Yuxiao Wang Yafei Wang Siheng Chen Yanfeng Wang 204 3 0 23 Jan 2024
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learningNeural Networks (Neural Netw.), 2023 Chu Myaet Thwal Minh N. H. Nguyen Ye Lin Tun Seongjin Kim My T. Thai Choong Seon Hong 189 9 0 22 Jan 2024
Personalized Federated Learning of Probabilistic Models: A PAC-Bayesian Approach Mahrokh Ghoddousi Boroujeni Andreas Krause Giancarlo Ferrari-Trecate FedML 255 6 0 16 Jan 2024
Gradient Coreset for Federated LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024 D. Sivasubramanian Lokesh Nagalapatti Rishabh K. Iyer Ganesh Ramakrishnan FedML 98 6 0 13 Jan 2024
AdaFed: Fair Federated Learning via Adaptive Common Descent Direction Shayan Mohajer Hamidi En-Hui Yang FedML 159 15 0 10 Jan 2024
FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning Jianqing Zhang Yang Liu Yang Hua Jian Cao FedML 211 80 0 06 Jan 2024
Federated Learning for distribution skewed data using sample weights Hung Nguyen Peiyuan Wu Morris Chang OOD FedML 109 7 0 05 Jan 2024
Personalized Federated Learning with Contextual Modulation and Meta-Learning Anna Vettoruzzo Mohamed-Rafik Bouguelia Thorsteinn Rögnvaldsson FedML 141 3 0 23 Dec 2023
Federated Learning via Input-Output Collaborative Distillation Xuan Gong Shanglin Li Yuxiang Bao Barry Yao Yawen Huang Ziyan Wu Baochang Zhang Yefeng Zheng David Doermann FedML 102 9 0 22 Dec 2023
Federated Learning with Projected Trajectory Regularization Tiejin Chen Yuanpu Cao Yujia Wang Cho-Jui Hsieh Jinghui Chen FedML 111 0 0 22 Dec 2023
A review of federated learning in renewable energy applications: Potential, challenges, and future directions Albin Grataloup Stefan Jonas Angela Meyer 173 9 0 18 Dec 2023
DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations Efstathia Soufleri Gang Yan Maroun Touma Jian Li 149 9 0 17 Dec 2023
Calibrated One Round Federated Learning with Bayesian Inference in the Predictive SpaceAAAI Conference on Artificial Intelligence (AAAI), 2023 Mohsin Hasan Guojun Zhang Kaiyang Guo Xi Chen Pascal Poupart FedML 137 11 0 15 Dec 2023
Exploiting Label Skews in Federated Learning with Model Concatenation Yiqun Diao Yue Liu Bingsheng He FedML 146 25 0 11 Dec 2023
Fake It Till Make It: Federated Learning with Consensus-Oriented Generation Rui Ye Yaxin Du Zhenyang Ni Siheng Chen Yanfeng Wang FedML 121 8 0 10 Dec 2023
Federated Learning Empowered by Generative Content Rui Ye Xinyu Zhu Jingyi Chai Siheng Chen Yanfeng Wang FedML 126 3 0 10 Dec 2023
Speed Up Federated Learning in Heterogeneous Environment: A Dynamic Tiering Approach Seyed Mahmoud Sajjadi Mohammadabadi Syed Zawad Feng Yan Lei Yang FedML 103 7 0 09 Dec 2023
FedEmb: A Vertical and Hybrid Federated Learning Algorithm using Network And Feature Embedding AggregationProceedings on Engineering Sciences (PES), 2023 Fanfei Meng Lele Zhang Yu Chen Yuxin Wang FedML 279 4 0 30 Nov 2023
FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning Seongyoon Kim Gihun Lee Jaehoon Oh Se-Young Yun 175 7 0 22 Nov 2023
FedHCA $^2$ : Towards Hetero-Client Federated Multi-Task LearningComputer Vision and Pattern Recognition (CVPR), 2023 Yuxiang Lu Wei Ji Yuwen Yang Shalayiding Sirejiding Yue Ding Hongtao Lu FedML 206 14 0 22 Nov 2023
Federated Learning via Consensus Mechanism on Heterogeneous Data: A New Perspective on ConvergenceIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023 Shu Zheng Tiandi Ye Xiang Li Ming Gao FedML 105 5 0 21 Nov 2023
A Novel Neural Network-Based Federated Learning System for Imbalanced and Non-IID Data Mahfuzur Rahman Chowdhury Muhammad Ibrahim FedML 90 0 0 16 Nov 2023
FedCode: Communication-Efficient Federated Learning via Transferring CodebooksInternational Conference on Edge Computing [Services Society] (EDGE), 2023 Saeed Khalilian Gourtani Vasileios Tsouvalas T. Ozcelebi N. Meratnia FedML 154 7 0 15 Nov 2023
Federated Skewed Label Learning with Logits Fusion Yuwei Wang Runhan Li Hao Tan Xue Jiang Sheng Sun Min Liu Bo Gao Zhiyuan Wu FedML 109 6 0 14 Nov 2023
EvoFed: Leveraging Evolutionary Strategies for Communication-Efficient Federated LearningNeural Information Processing Systems (NeurIPS), 2023 Mohammad Mahdi Rahimi Hasnain Irshad Bhatti Younghyun Park Humaira Kousar Jaekyun Moon FedML 172 12 0 13 Nov 2023
Federated Learning Across Decentralized and Unshared Archives for Remote Sensing Image ClassificationIEEE Geoscience and Remote Sensing Magazine (GRSM), 2023 Baris Büyüktas Gencer Sumbul Begüm Demir FedML 217 9 0 10 Nov 2023
Federated Learning with Manifold Regularization and Normalized Update ReaggregationNeural Information Processing Systems (NeurIPS), 2023 Xuming An Li Shen Han Hu Yong Luo FedML 128 7 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 92 4 0 08 Nov 2023
Federated Learning on Edge Sensing Devices: A Review Berrenur Saylam Ozlem Durmaz Incel 151 1 0 02 Nov 2023
Proving Linear Mode Connectivity of Neural Networks via Optimal TransportInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Damien Ferbach Baptiste Goujaud Gauthier Gidel Hadrien Hendrikx MoMe 257 17 0 29 Oct 2023
Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated LearningComputer Vision and Pattern Recognition (CVPR), 2023 Wenlong Deng Christos Thrampoulidis Xiaoxiao Li 279 20 0 27 Oct 2023
Filling the Missing: Exploring Generative AI for Enhanced Federated Learning over Heterogeneous Mobile Edge DevicesIEEE Transactions on Mobile Computing (IEEE TMC), 2023 Peichun Li Hanwen Zhang Yuan Wu Liping Qian Rong Yu Dusit Niyato X. Shen 117 40 0 21 Oct 2023
Equivariant Deep Weight Space Alignment Aviv Navon Aviv Shamsian Ethan Fetaya Gal Chechik Nadav Dym Haggai Maron 187 28 0 20 Oct 2023
Whole-brain radiomics for clustered federated personalization in brain tumor segmentationInternational Conference on Medical Imaging with Deep Learning (MIDL), 2023 Matthis Manthe Stefan Duffner Carole Lartizien FedML 141 4 0 17 Oct 2023
FedSym: Unleashing the Power of Entropy for Benchmarking the Algorithms for Federated LearningBigData Congress [Services Society] (BSS), 2023 Ensiye Kiyamousavi Boris Kraychev Ivan Koychev FedML 94 0 0 11 Oct 2023
Transformer Fusion with Optimal TransportInternational Conference on Learning Representations (ICLR), 2023 Moritz Imfeld Jacopo Graldi Marco Giordano Thomas Hofmann Sotiris Anagnostidis Sidak Pal Singh ViT MoMe 254 27 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 147 0 0 09 Oct 2023
Enhancing Clustered Federated Learning: Integration of Strategies and Improved MethodologiesInternational Conference on Learning Representations (ICLR), 2023 Yongxin Guo Xiaoying Tang Tao Lin FedML 33 1 0 09 Oct 2023
FedFed: Feature Distillation against Data Heterogeneity in Federated LearningNeural Information Processing Systems (NeurIPS), 2023 Zhiqin Yang Yonggang Zhang Yuxiang Zheng Xinmei Tian Hao Peng Tongliang Liu Bo Han FedML 149 95 0 08 Oct 2023
FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning Peiran Xu Zeyu Wang Jieru Mei Liangqiong Qu Yaoyao Liu Cihang Xie Yuyin Zhou FedML 112 2 0 06 Oct 2023
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