FedMD: Heterogenous Federated Learning via Model Distillation

8 October 2019

Papers citing "FedMD: Heterogenous Federated Learning via Model Distillation"

50 / 375 papers shown

Title
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data Ljubomir Rokvic Panayiotis Danassis Boi Faltings FedML 38 0 0 05 May 2025
Towards One-shot Federated Learning: Advances, Challenges, and Future Directions Flora Amato Lingyu Qiu Mohammad Tanveer S. Cuomo F. Giampaolo F. Piccialli FedML 63 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
How to Backdoor the Knowledge Distillation C. Wu Qian Ma P. Mitra Sencun Zhu AAML 32 0 0 30 Apr 2025
Soft-Label Caching and Sharpening for Communication-Efficient Federated Distillation Kitsuya Azuma Takayuki Nishio Yuichi Kitagawa Wakako Nakano Takahito Tanimura FedML 70 0 0 28 Apr 2025
Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks Yang Liu Bingjie Yan Tianyuan Zou Jianqing Zhang Zixuan Gu ... J. Li Xiaozhou Ye Ye Ouyang Qiang Yang Yuhang Zhang ALM 155 1 0 24 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 60 20 0 20 Apr 2025
FedCIA: Federated Collaborative Information Aggregation for Privacy-Preserving Recommendation Mingzhe Han Dongsheng Li Jiafeng Xia Jiahao Liu Hansu Gu Peng Zhang Ning Gu Tun Lu FedML 37 0 0 19 Apr 2025
FedX: Adaptive Model Decomposition and Quantization for IoT Federated Learning Phung Lai Xiaopeng Jiang Hai Phan Cristian Borcea K. Tran An M. Chen Vijaya Datta Mayyuri Ruoming Jin FedML MQ 61 0 0 17 Apr 2025
Federated Hierarchical Reinforcement Learning for Adaptive Traffic Signal Control Yongjie Fu Lingyun Zhong Zifan Li Xuan Di 21 0 0 07 Apr 2025
Federated Learning for Medical Image Classification: A Comprehensive Benchmark Zhekai Zhou Guibo Luo Mingzhi Chen Zhenyu Weng Yuesheng Zhu FedML 26 0 0 07 Apr 2025
Corrected with the Latest Version: Make Robust Asynchronous Federated Learning Possible Chaoyi Lu Yiding Sun Pengbo Li Zhichuan Yang FedML 34 0 0 05 Apr 2025
Operator Learning: A Statistical Perspective Unique Subedi Ambuj Tewari 31 0 0 04 Apr 2025
Unlocking the Value of Decentralized Data: A Federated Dual Learning Approach for Model Aggregation Junyi Zhu Ruicong Yao Taha Ceritli Savas Ozkan Matthew B. Blaschko Eunchung Noh Jeongwon Min Cho Jung Min Mete Ozay FedML 103 0 0 26 Mar 2025
FedSKD: Aggregation-free Model-heterogeneous Federated Learning using Multi-dimensional Similarity Knowledge Distillation Ziqiao Weng Weidong (Tom) Cai Bo Zhou 51 0 0 23 Mar 2025
Enabling Weak Client Participation via On-device Knowledge Distillation in Heterogenous Federated Learning Jihyun Lim Junhyuk Jo Tuo Zhang Salman Avestimehr Sunwoo Lee FedML 51 0 0 14 Mar 2025
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis Luyuan Xie Tianyu Luan Wenyuan Cai Guochen Yan Zhe Chen Nan Xi Yuejian Fang Qingni Shen Zhonghai Wu Junsong Yuan FedML 67 0 0 13 Mar 2025
Moss: Proxy Model-based Full-Weight Aggregation in Federated Learning with Heterogeneous Models Y. Cai Ziqi Zhang Ding Li Yao Guo Xiangqun Chen 55 0 0 13 Mar 2025
Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clients Xiuwen Fang Mang Ye Bo Du FedML 74 1 0 12 Mar 2025
HFedCKD: Toward Robust Heterogeneous Federated Learning via Data-free Knowledge Distillation and Two-way Contrast Yiting Zheng Bohan Lin Jinqian Chen Jihua Zhu FedML 44 0 0 09 Mar 2025
Personalized Federated Learning via Learning Dynamic Graphs Ziran Zhou Guanyu Gao Xiaohu Wu Yan Lyu FedML 48 0 0 07 Mar 2025
Runtime Backdoor Detection for Federated Learning via Representational Dissimilarity Analysis Xinming Zhang Xiaoyong Xue Xiaoning Du Xiaofei Xie Yong-Jin Liu Meng Sun FedML AAML 60 0 0 06 Mar 2025
Federated Learning Framework via Distributed Mutual Learning Yash Gupta FedML 43 0 0 03 Mar 2025
Asynchronous Personalized Federated Learning through Global Memorization Fan Wan Heng Chang Xueqi Qiu Rui Sun L. Zhang Xingyu Miao Tianyu Zhang Haoran Duan Yang Long 34 0 0 01 Mar 2025
FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated Clients Leming Shen Qiang Yang Kaiyan Cui Yuanqing Zheng Xiao-Yong Wei Jianwei Liu Jinsong Han FedML 72 11 0 28 Feb 2025
FedORGP: Guiding Heterogeneous Federated Learning with Orthogonality Regularization on Global Prototypes Fucheng Guo Zeyu Luan Qing Li Dan Zhao Yong-jia Jiang FedML 53 0 0 22 Feb 2025
Secure Federated Data Distillation Marco Arazzi Mert Cihangiroglu S. Nicolazzo Antonino Nocera FedML DD 101 0 0 19 Feb 2025
Ten Challenging Problems in Federated Foundation Models Tao Fan Hanlin Gu Xuemei Cao Chee Seng Chan Qian Chen ... Y. Zhang Xiaojin Zhang Zhenzhe Zheng Lixin Fan Qiang Yang FedML 89 4 0 14 Feb 2025
FedMHO: Heterogeneous One-Shot Federated Learning Towards Resource-Constrained Edge Devices Dezhong Yao Yuexin Shi Tongtong Liu Zhiqiang Xu 69 1 0 12 Feb 2025
Data Overvaluation Attack and Truthful Data Valuation Shuyuan Zheng Sudong Cai Chuan Xiao Yang Cao Jianbin Qin Masatoshi Yoshikawa Makoto Onizuka TDI AAML 65 0 0 01 Feb 2025
BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities Zhibo Tian Ruijie Quan Fan Ma Kun Zhan Yi Yang 31 1 0 24 Jan 2025
FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning Yanbing Zhou Xiangmou Qu Chenlong You Jiyang Zhou Jingyue Tang Xin Zheng Chunmao Cai Yingbo Wu FedML 58 1 0 09 Jan 2025
Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical Diagnosis Jiaqi Wang Ziyi Yin Quanzeng You Lingjuan Lyu Fenglong Ma FedML 73 0 0 27 Dec 2024
FedAli: Personalized Federated Learning with Aligned Prototypes through Optimal Transport Sannara Ek Kaile Wang François Portet P. Lalanda Jiannong Cao FedML 38 0 0 15 Nov 2024
Collaborative and Federated Black-box Optimization: A Bayesian Optimization Perspective Raed Al Kontar FedML 35 0 0 12 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 49 6 0 27 Oct 2024
Enhancing Federated Learning Convergence with Dynamic Data Queue and Data Entropy-driven Participant Selection Charuka Herath Xiaolan Liu S. Lambotharan Y. Rahulamathavan FedML 23 2 0 23 Oct 2024
Securing Federated Learning against Backdoor Threats with Foundation Model Integration Xiaohuan Bi Xi Li 55 1 0 23 Oct 2024
A Bayesian Framework for Clustered Federated Learning Peng Wu Tales Imbiriba Pau Closas FedML 53 0 0 20 Oct 2024
FedPAE: Peer-Adaptive Ensemble Learning for Asynchronous and Model-Heterogeneous Federated Learning Brianna Mueller W. Street Stephen Seung-Yeob Baek Qihang Lin Jingyi Yang Yankun Huang 34 0 0 17 Oct 2024
Vaccinating Federated Learning for Robust Modulation Classification in Distributed Wireless Networks Hunmin Lee Hongju Seong Wonbin Kim Hyeokchan Kwon Daehee Seo 21 0 0 16 Oct 2024
WPFed: Web-based Personalized Federation for Decentralized Systems Guanhua Ye Jifeng He Weiqing Wang Zhe Xue Feifei Kou Yawen Li 28 0 0 15 Oct 2024
Influence-oriented Personalized Federated Learning Yue Tan Guodong Long Jing Jiang Chengqi Zhang FedML 31 0 0 04 Oct 2024
HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning M. A. Khan Yasra Chandio Fatima M. Anwar AAML 31 0 0 30 Sep 2024
Tailored Federated Learning: Leveraging Direction Regulation & Knowledge Distillation Huidong Tang Chen Li Huachong Yu Sayaka Kamei Yasuhiko Morimoto FedML 28 0 0 29 Sep 2024
Federated Large Language Models: Current Progress and Future Directions Yuhang Yao Jianyi Zhang Junda Wu Chengkai Huang Yu Xia ... Ang Li Lina Yao Julian McAuley Yiran Chen Carlee Joe-Wong FedML AIFin 63 8 0 24 Sep 2024
From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare Ming Li Pengcheng Xu Junjie Hu Zeyu Tang Guang Yang FedML 48 1 0 15 Sep 2024
Exploring System-Heterogeneous Federated Learning with Dynamic Model Selection Dixi Yao FedML 35 0 0 13 Sep 2024
Privacy-Preserving Federated Learning with Consistency via Knowledge Distillation Using Conditional Generator Kangyang Luo Shuai Wang Xiang Li Yunshi Lan Ming Gao Jinlong Shu FedML 30 1 0 11 Sep 2024
Applied Federated Model Personalisation in the Industrial Domain: A Comparative Study Ilias Siniosoglou Vasileios Argyriou G. Fragulis Panagiotis E. Fouliras Georgios Th. Papadopoulos A. Lytos Panagiotis G. Sarigiannidis 37 1 0 10 Sep 2024