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Federated Mutual Learning

27 June 2020

Papers citing "Federated Mutual Learning"

50 / 62 papers shown

Title
FedDTG:Federated Data-Free Knowledge Distillation via Three-Player Generative Adversarial Networks Zhenyuan Zhang Zhenyuan Zhang Jie M. Zhang FedML 374 16 0 01 Jul 2025
Client Clustering Meets Knowledge Sharing: Enhancing Privacy and Robustness in Personalized Peer-to-Peer Learning Mohammad Maheri Denys Herasymuk Hamed Haddadi 161 0 0 25 Jun 2025
HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark Jianqing Zhang Xinghao Wu Yanbing Zhou Xiaoting Sun Qiqi Cai Yang Liu Yang Hua Zhenzhe Zheng Jian Cao Qiang Yang FedML 238 1 0 04 Jun 2025
Mosaic: Data-Free Knowledge Distillation via Mixture-of-Experts for Heterogeneous Distributed Environments Junming Liu Yanting Gao Siyuan Meng Yifei Sun Aoqi Wu Yufei Jin Yirong Chen Botian Shi Guosun Zeng 245 2 0 26 May 2025
Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Md. Tanzib Hosain Asif Zaman Md. Shahriar Sajid Shadman Sakeeb Khan Shanjida Akter 201 10 0 03 May 2025
FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated LearningAAAI Conference on Artificial Intelligence (AAAI), 2025 Yanbing Zhou Xiangmou Qu Chenlong You Jiyang Zhou Jingyue Tang Xin Zheng Chunmao Cai Yingbo Wu FedML 319 3 0 09 Jan 2025
Personalized Federated Fine-Tuning for LLMs via Data-Driven Heterogeneous Model Architectures Yicheng Zhang Zhen Qin Zhaomin Wu Jian Hou Shuiguang Deng 685 7 0 28 Nov 2024
FedPAE: Peer-Adaptive Ensemble Learning for Asynchronous and Model-Heterogeneous Federated LearningBigData Congress [Services Society] (BSS), 2024 Brianna Mueller W. Street Stephen Seung-Yeob Baek Qihang Lin Jingyi Yang Yankun Huang 188 0 0 17 Oct 2024
GAI-Enabled Explainable Personalized Federated Semi-Supervised Learning Yubo Peng Feibo Jiang Li Dong Kezhi Wang Kun Yang FedML 406 0 0 11 Oct 2024
Adaptive Guidance for Local Training in Heterogeneous Federated Learning Jianqing Zhang Yang Liu Yang Hua Jian Cao Qiang Yang FedML 278 1 0 09 Oct 2024
Personalized Federated Learning for Generative AI-Assisted Semantic Communications Yubo Peng Feibo Jiang Li Dong Kezhi Wang Kun Yang 240 2 0 03 Oct 2024
The Diversity Bonus: Learning from Dissimilar Distributed Clients in Personalized Federated Learning Xinghao Wu Xuefeng Liu Jianwei Niu Guogang Zhu Shaojie Tang Xiaotian Li Jiannong Cao FedML 221 3 0 22 Jul 2024
Personalized Federated Domain-Incremental Learning based on Adaptive Knowledge Matching Yichen Li Wenchao Xu Haozhao Wang Ruixuan Li Tianzhe Xiao Jingcai Guo CLL 246 26 0 06 Jul 2024
Federated Active Learning Framework for Efficient Annotation Strategy in Skin-lesion Classification Zhipeng Deng Yuqiao Yang Kenji Suzuki MedIm FedML 239 3 0 17 Jun 2024
Federated Model Heterogeneous Matryoshka Representation Learning Liping Yi Han Yu Chao Ren Gang Wang Xiaoguang Liu Xiaoxiao Li FedML 297 16 0 01 Jun 2024
Federated Cross-Training Learners for Robust Generalization under Data Heterogeneity Zhuang Qi Lei Meng Ruohan Zhang Yu Wang Xin Qi Xiangxu Meng Xiangxu Meng Qiang Yang FedML 414 4 0 30 May 2024
pFedAFM: Adaptive Feature Mixture for Batch-Level Personalization in Heterogeneous Federated Learning Liping Yi Han Yu Chao Ren Heng-Ming Zhang Gang Wang Xiaoguang Liu Xiaoxiao Li 214 2 0 27 Apr 2024
FedMeS: Personalized Federated Continual Learning Leveraging Local Memory Jingru Xie Chenqi Zhu Songze Li FedML CLL 222 0 0 19 Apr 2024
An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated LearningComputer Vision and Pattern Recognition (CVPR), 2024 Jianqing Zhang Yang Liu Yang Hua Jian Cao 226 18 0 23 Mar 2024
Fairness Auditing with Multi-Agent Collaboration M. Vos Akash Dhasade Jade Garcia Bourrée Anne-Marie Kermarrec Erwan Le Merrer Benoit Rottembourg Gilles Tredan MLAU 148 3 0 13 Feb 2024
DFML: Decentralized Federated Mutual Learning Yasser H. Khalil A. Estiri Mahdi Beitollahi Nader Asadi S. Hemati Xu Li Guojun Zhang Xi Chen 132 2 0 02 Feb 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 275 94 0 06 Jan 2024
Federated Learning for distribution skewed data using sample weights Hung Nguyen Peiyuan Wu Morris Chang OOD FedML 133 7 0 05 Jan 2024
Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning Zhongyi Cai Ye-ling Shi Wei Huang Jingya Wang FedML 243 9 0 21 Dec 2023
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2023 Liping Yi Han Yu Zhuan Shi Gang Wang Xiaoguang Liu Lizhen Cui Xiaoxiao Li FedML 371 14 0 14 Dec 2023
PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark Jianqing Zhang Yang Liu Yang Hua Hao Wang Tao Song Zhengui Xue Ruhui Ma Jian Cao FedML AI4CE 132 3 0 08 Dec 2023
Leveraging Foundation Models to Improve Lightweight Clients in Federated Learning Xidong Wu Wan-Yi Lin Devin Willmott Filipe Condessa Yufei Huang Zhenzhen Li Madan Ravi Ganesh FedML 182 5 0 14 Nov 2023
pFedES: Model Heterogeneous Personalized Federated Learning with Feature Extractor Sharing Liping Yi Han Yu Gang Wang Xiaoguang Liu 193 9 0 12 Nov 2023
FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models Tao Fan Weijing Chen Guoqiang Ma Yan Kang Wenbin Wei Lixin Fan Qiang Yang 224 83 0 16 Oct 2023
FedL2P: Federated Learning to PersonalizeNeural Information Processing Systems (NeurIPS), 2023 Royson Lee Minyoung Kim Da Li Xinchi Qiu Timothy M. Hospedales Ferenc Huszár Nicholas D. Lane FedML 133 0 0 03 Oct 2023
Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Wenke Huang J. J. Valero-Mas Dasaem Jeong Bo Du FedML 188 75 0 28 Sep 2023
Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated LearningInternational Conference on Learning Representations (ICLR), 2023 Yun-Hin Chan Rui Zhou Running Zhao Zhihan Jiang Edith C.H. Ngai FedML 209 11 0 22 Aug 2023
Federated Learning: Organizational Opportunities, Challenges, and Adoption Strategies J. Delgado-Fernandez Martin Brennecke Tom Josua Barbereau Alexander Rieger Gilbert Fridgen FedML AI4CE 207 1 0 04 Aug 2023
Federated Learning for Data and Model Heterogeneity in Medical Imaging Hussain Ahmad Madni Rao Muhammad Umer G. Foresti FedML 128 7 0 31 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 215 90 0 18 Jul 2023
Generalized Universal Domain Adaptation with Generative Flow NetworksACM Multimedia (ACM MM), 2023 Didi Zhu Yinchuan Li Yunfeng Shao Jianye Hao Leilei Gan Kun Kuang Jun Xiao Chao Wu AI4CE OOD 239 24 0 08 May 2023
Universal Domain Adaptation via Compressive Attention MatchingIEEE International Conference on Computer Vision (ICCV), 2023 Didi Zhu Yincuan Li Junkun Yuan Zexi Li Kun Kuang Chao Wu 264 26 0 24 Apr 2023
Peer-to-Peer Federated Continual Learning for Naturalistic Driving Action Recognition Liangqi Yuan Yunsheng Ma Lu Su Ziran Wang FedML 225 33 0 14 Apr 2023
FedIN: Federated Intermediate Layers Learning for Model Heterogeneity Yun-Hin Chan Zhihan Jiang Jing Deng Edith C.H. Ngai FedML 246 1 0 03 Apr 2023
FedGH: Heterogeneous Federated Learning with Generalized Global HeaderACM Multimedia (ACM MM), 2023 Liping Yi Gang Wang Xiaoguang Liu Zhuan Shi Han Yu FedML 309 135 0 23 Mar 2023
FedPDC:Federated Learning for Public Dataset Correction Yu-quan Zhang Yongquan Zhang FedML 85 0 0 24 Feb 2023
InOR-Net: Incremental 3D Object Recognition Network for Point Cloud RepresentationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 Jiahua Dong Yang Cong Gan Sun Lixu Wang Lingjuan Lyu Jun Li E. Konukoglu CLL 3DPC 161 17 0 20 Feb 2023
Decentralized Learning with Multi-Headed DistillationComputer Vision and Pattern Recognition (CVPR), 2022 A. Zhmoginov Mark Sandler Nolan Miller Gus Kristiansen Max Vladymyrov FedML 128 6 0 28 Nov 2022
Personalized Federated Learning with Hidden Information on Personalized Prior Mingjia Shi Yuhao Zhou Qing Ye Jiancheng Lv FedML 258 4 0 19 Nov 2022
Find Your Friends: Personalized Federated Learning with the Right Collaborators Yi Sui Junfeng Wen Yenson Lau Brendan Leigh Ross Jesse C. Cresswell FedML 157 12 0 12 Oct 2022
Federated Learning with Label Distribution Skew via Logits CalibrationInternational Conference on Machine Learning (ICML), 2022 Jie M. Zhang Zhiqi Li Yue Liu Jianghe Xu Shuang Wu Shouhong Ding Chao Wu FedML 248 195 0 01 Sep 2022
A Generative Framework for Personalized Learning and Estimation: Theory, Algorithms, and Privacy Kaan Ozkara Antonious M. Girgis Deepesh Data Suhas Diggavi FedML 153 4 0 05 Jul 2022
An Empirical Study of Personalized Federated Learning Koji Matsuda Yuya Sasaki Chuan Xiao Makoto Onizuka OOD FedML 134 6 0 27 Jun 2022
Avoid Overfitting User Specific Information in Federated Keyword SpottingInterspeech (Interspeech), 2022 Xin-Chun Li Jin-Lin Tang Shaoming Song Bingshuai Li Yinchuan Li Yunfeng Shao Le Gan De-Chuan Zhan FedML AAML 119 9 0 17 Jun 2022
Personalization Improves Privacy-Accuracy Tradeoffs in Federated LearningInternational Conference on Machine Learning (ICML), 2022 A. Bietti Chen-Yu Wei Miroslav Dudík John Langford Zhiwei Steven Wu FedML 202 58 0 10 Feb 2022