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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Incentivizing Inclusive Contributions in Model Sharing Markets Enpei Zhang Jingyi Chai Rui Ye Yanfeng Wang Siheng Chen TDI FedML 114 0 0 05 May 2025
SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices Zhengyi Zhong Weidong Bao Ji Wang Jianguo Chen Lingjuan Lyu Wei Yang Bryan Lim CLL 41 0 0 01 May 2025
Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization Shuai Gong C. Cui Xiaolin Dong Xiushan Nie Lei Zhu Xiaojun Chang FedML MoE 59 0 0 29 Apr 2025
Learning Critically: Selective Self Distillation in Federated Learning on Non-IID Data Yuting He Yiqiang Chen Xiaodong Yang H. Yu Yi-Hua Huang Yang Gu FedML 46 20 0 20 Apr 2025
Selective Attention Federated Learning: Improving Privacy and Efficiency for Clinical Text Classification Yue Li L. Zhang 29 0 0 16 Apr 2025
Metropolis-Hastings Captioning Game: Knowledge Fusion of Vision Language Models via Decentralized Bayesian Inference Yuta Matsui Ryosuke Yamaki Ryo Ueda Seitaro Shinagawa Tadahiro Taniguchi MLLM 38 1 0 13 Apr 2025
Query-based Knowledge Transfer for Heterogeneous Learning Environments Norah Alballa Wenxuan Zhang Ziquan Liu A. Abdelmoniem Mohamed Elhoseiny Marco Canini 24 0 0 12 Apr 2025
FedFeat+: A Robust Federated Learning Framework Through Federated Aggregation and Differentially Private Feature-Based Classifier Retraining Mrityunjoy Gain Kitae Kim Avi Deb Raha Apurba Adhikary Eui-nam Huh Zhu Han Choong Seon Hong FedML 31 0 0 08 Apr 2025
Operator Learning: A Statistical Perspective Unique Subedi Ambuj Tewari 26 0 0 04 Apr 2025
Federated Self-Supervised Learning for One-Shot Cross-Modal and Cross-Imaging Technique Segmentation Siladittya Manna Suresh Das Sayantari Ghosh Saumik Bhattacharya FedML 43 0 0 30 Mar 2025
FLIP: Towards Comprehensive and Reliable Evaluation of Federated Prompt Learning Dongping Liao X. Gao Yabo Xu Chengzhong Xu FedML VLM 42 0 0 28 Mar 2025
AIGC-assisted Federated Learning for Edge Intelligence: Architecture Design, Research Challenges and Future Directions Xianke Qiang Zheng Chang Ying-Chang Liang FedML 75 0 0 26 Mar 2025
Distributionally Robust Federated Learning: An ADMM Algorithm Wen Bai Yi Wong Xiao Qiao Chin Pang Ho FedML OOD 66 0 0 24 Mar 2025
FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors Changlong Shi He Zhao Bingjie Zhang Mingyuan Zhou Dandan Guo Yi Chang 42 0 0 20 Mar 2025
FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking Changlong Shi Jinmeng Li He Zhao D. Guo Yi Chang FedML 47 0 0 19 Mar 2025
A Survey on Federated Fine-tuning of Large Language Models Yebo Wu Chunlin Tian Jingguang Li He Sun Kahou Tam Li Li Chengzhong Xu FedML 81 0 0 15 Mar 2025
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning Yanbiao Ma Wei-Ming Dai Wenke Huang Jiayi Chen 94 0 0 09 Mar 2025
Personalized Federated Learning via Learning Dynamic Graphs Ziran Zhou Guanyu Gao Xiaohu Wu Yan Lyu FedML 45 0 0 07 Mar 2025
Federated Inverse Probability Treatment Weighting for Individual Treatment Effect Estimation Changchang Yin Hong-You Chen Wei-Lun Chao Ping Zhang CML 63 0 0 06 Mar 2025
Multi-Level Collaboration in Model Merging Qi Li Runpeng Yu Xinchao Wang MoMe FedML 91 0 0 03 Mar 2025
Robust Federated Learning with Global Sensitivity Estimation for Financial Risk Management Lei Zhao Lin Cai Wu-Sheng Lu FedML 76 0 0 24 Feb 2025
Accurate Forgetting for Heterogeneous Federated Continual Learning Abudukelimu Wuerkaixi Sen Cui J. Zhang Kunda Yan Bo Han Gang Niu Lei Fang Changshui Zhang Masashi Sugiyama 106 8 0 20 Feb 2025
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning Saber Malekmohammadi Yaoliang Yu Yang Cao FedML 83 5 0 17 Feb 2025
One-shot Federated Learning Methods: A Practical Guide Xiang Liu Zhenheng Tang Xia Li Yijun Song Sijie Ji Zemin Liu Bo Han Linshan Jiang Jialin Li FedML 84 1 0 13 Feb 2025
Speculate, then Collaborate: Fusing Knowledge of Language Models during Decoding Z. Wang Muneeza Azmart Ang Li R. Horesh Mikhail Yurochkin 107 1 0 11 Feb 2025
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead Won-Jun Jang Hyeon-Seo Park Si-Hyeon Lee FedML 143 0 0 10 Feb 2025
A Privacy-Preserving Domain Adversarial Federated learning for multi-site brain functional connectivity analysis Y. Zhang Likai Wang Kuan-Jui Su Aiying Zhang Hao Zhu Xiaowen Liu Hui Shen Vince D. Calhoun Yuping Wang H. Deng 56 0 0 03 Feb 2025
Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion Binchi Zhang Zaiyi Zheng Zhengzhang Chen Jundong Li 54 0 0 01 Feb 2025
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting M. Nori Il Kim Guanghui CLL 60 1 0 26 Jan 2025
Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning Dipanwita Thakur Antonella Guzzo Giancarlo Fortino Sajal K. Das FedML 67 0 0 16 Dec 2024
A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications Francesco Cremonesi Lucia Innocenti Sebastien Ourselin Vicky Goh Michela Antonelli Marco Lorenzi FedML 102 0 0 09 Dec 2024
Controlling Participation in Federated Learning with Feedback Michael Cummins Güner Dilsad Er Michael Muehlebach FedML 77 0 0 28 Nov 2024
BadSFL: Backdoor Attack against Scaffold Federated Learning Xingshuo Han Xuanye Zhang Xiang Lan Haozhao Wang Shengmin Xu Shen Ren Jason Zeng Ming Wu Michael Heinrich Tianwei Zhang FedML 64 1 0 25 Nov 2024
FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning Z. Wen Wanglei Feng Di Wu Haozhen Hu Chang Xu Bin Qian Zhen Hong Cong Wang S. Ji FedML 71 0 0 18 Nov 2024
FedRewind: Rewinding Continual Model Exchange for Decentralized Federated Learning Luca Palazzo M. Pennisi Federica Proietto Salanitri Giovanni Bellitto S. Palazzo C. Spampinato FedML 20 0 0 14 Nov 2024
Collaborative and Federated Black-box Optimization: A Bayesian Optimization Perspective Raed Al Kontar FedML 30 0 0 12 Nov 2024
Federated Learning Client Pruning for Noisy Labels Mahdi Morafah Hojin Chang C. L. P. Chen Bill Lin 42 1 0 11 Nov 2024
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion Zhenheng Tang Yonggang Zhang Peijie Dong Y. Cheung Amelie Chi Zhou Bo Han Xiaowen Chu FedML MoMe AI4CE 47 6 0 27 Oct 2024
Robust Model Evaluation over Large-scale Federated Networks Amir Najafi Samin Mahdizadeh Sani Farzan Farnia OOD FedML 22 0 0 26 Oct 2024
Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift J. Chen Jingfeng Xue Y. Wang Zhenyan Liu Lu Huang FedML 26 0 0 24 Oct 2024
FedBaF: Federated Learning Aggregation Biased by a Foundation Model Jong-Ik Park Srinivasa Pranav J. M. F. Moura Carlee Joe-Wong AI4CE 71 2 0 24 Oct 2024
The Non-Local Model Merging Problem: Permutation Symmetries and Variance Collapse Ekansh Sharma Daniel M. Roy Gintare Karolina Dziugaite MoMe 31 2 0 16 Oct 2024
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning Zhilong Li Xiaohu Wu Xiaoli Tang Tiantian He Yew-Soon Ong Mengmeng Chen Qiqi Liu Qicheng Lao Han Yu FedML 27 1 0 09 Oct 2024
Federated brain tumor segmentation: an extensive benchmark Matthis Manthe Stefan Duffner Carole Lartizien OOD FedML 35 4 0 07 Oct 2024
What Matters for Model Merging at Scale? Prateek Yadav Tu Vu Jonathan Lai Alexandra Chronopoulou Manaal Faruqui Mohit Bansal Tsendsuren Munkhdalai MoMe 46 13 0 04 Oct 2024
Parameter Competition Balancing for Model Merging Guodong Du Junlin Lee Jing Li Runhua Jiang Yifei Guo ... Hanting Liu S. Goh Ho-Kin Tang Daojing He Min Zhang MoMe 35 12 0 03 Oct 2024
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning Nurbek Tastan Samuel Horváth Martin Takáč Karthik Nandakumar FedML 57 0 0 03 Oct 2024
Foldable SuperNets: Scalable Merging of Transformers with Different Initializations and Tasks Edan Kinderman Itay Hubara Haggai Maron Daniel Soudry MoMe 47 0 0 02 Oct 2024
Federated Instruction Tuning of LLMs with Domain Coverage Augmentation Zezhou Wang Yaxin Du Zhuzhong Qian Yugang Jiang Zhuzhong Qian Siheng Chen FedML 98 0 0 30 Sep 2024
Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration Mahdi Morafah Vyacheslav Kungurtsev Hojin Chang C. L. P. Chen Bill Lin FedML 34 0 0 27 Sep 2024