FedMD: Heterogenous Federated Learning via Model Distillation

8 October 2019

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

50 / 375 papers shown

Title
FedMCP: Parameter-Efficient Federated Learning with Model-Contrastive Personalization Qianyi Zhao Chen Qu Cen Chen Mingyuan Fan Yanhao Wang 36 1 0 28 Aug 2024
NeuLite: Memory-Efficient Federated Learning via Elastic Progressive Training Yebo Wu Li Li Chunlin Tian Dubing Chen Chengzhong Xu FedML 32 3 0 20 Aug 2024
Heterogeneity-Aware Memory Efficient Federated Learning via Progressive Layer Freezing Wu Yebo Li Li Tian Chunlin Chang Tao Lin Chi Wang Cong Xu Cheng-Zhong FedML 34 4 0 17 Aug 2024
Addressing Skewed Heterogeneity via Federated Prototype Rectification with Personalization Shunxin Guo Hongsong Wang Shuxia Lin Zhiqiang Kou Xin Geng FedML 38 1 0 15 Aug 2024
Federated Learning as a Service for Hierarchical Edge Networks with Heterogeneous Models Wentao Gao Omid Tavallaie Shuaijun Chen Albert Zomaya FedML 40 3 0 30 Jul 2024
Peak-Controlled Logits Poisoning Attack in Federated Distillation Yuhan Tang Aoxu Zhang Zhiyuan Wu Bo Gao Tian Wen Yuwei Wang Sheng Sun FedML AAML 49 0 0 25 Jul 2024
COALA: A Practical and Vision-Centric Federated Learning Platform Weiming Zhuang Jian Xu Chen Chen Jingtao Li Lingjuan Lyu VLM FedML 79 4 0 23 Jul 2024
FedDM: Enhancing Communication Efficiency and Handling Data Heterogeneity in Federated Diffusion Models Jayneel Vora Nader Bouacida Aditya Krishnan Prasant Mohapatra FedML 43 1 0 20 Jul 2024
Non-parametric regularization for class imbalance federated medical image classification Jeffry Wicaksana Zengqiang Yan Kwang-Ting Cheng FedML 26 0 0 17 Jul 2024
CDFL: Efficient Federated Human Activity Recognition using Contrastive Learning and Deep Clustering Ensieh Khazaei Alireza Esmaeilzehi Bilal Taha Dimitrios Hatzinakos FedML 28 1 0 17 Jul 2024
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community Yan Liu Bin Guo Nuo Li Yasan Ding Zhouyangzi Zhang Zhiwen Yu 50 1 0 09 Jul 2024
Federated Knowledge Transfer Fine-tuning Large Server Model with Resource-Constrained IoT Clients Shaoyuan Chen Linlin You Rui Liu Shuo Yu A. Abdelmoniem 66 0 0 07 Jul 2024
FedTSA: A Cluster-based Two-Stage Aggregation Method for Model-heterogeneous Federated Learning Boyu Fan Chenrui Wu Xiang Su Pan Hui FedML 49 2 0 06 Jul 2024
Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning Jiaqi Wang Chenxu Zhao Lingjuan Lyu Quanzeng You Mengdi Huai Fenglong Ma FedML 42 3 0 03 Jul 2024
Federated Distillation for Medical Image Classification: Towards Trustworthy Computer-Aided Diagnosis Sufen Ren Yule Hu Shengchao Chen Guanjun Wang 34 1 0 02 Jul 2024
MH-pFLGB: Model Heterogeneous personalized Federated Learning via Global Bypass for Medical Image Analysis Luyuan Xie Manqing Lin ChenMing Xu Tianyu Luan Zhipeng Zeng Wenjun Qian Cong Li Yuejian Fang Qingni Shen Zhonghai Wu 41 2 0 29 Jun 2024
Federated Learning with a Single Shared Image Sunny Soni Aaqib Saeed Yuki M. Asano FedML DD 51 1 0 18 Jun 2024
Pre-Training and Personalized Fine-Tuning via Over-the-Air Federated Meta-Learning: Convergence-Generalization Trade-Offs Haifeng Wen Hong Xing Osvaldo Simeone AI4CE 48 3 0 17 Jun 2024
Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions Laiqiao Qin Tianqing Zhu Wanlei Zhou Philip S. Yu 43 5 0 16 Jun 2024
Faster Convergence on Heterogeneous Federated Edge Learning: An Adaptive Clustered Data Sharing Approach Gang Hu Yinglei Teng Nan Wang Zhu Han FedML 32 1 0 14 Jun 2024
Decentralized Personalized Federated Learning Salma Kharrat Marco Canini Samuel Horváth FedML 54 0 0 10 Jun 2024
FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning Seongyoon Kim Minchan Jeong Sungnyun Kim Sungwoo Cho Sumyeong Ahn Se-Young Yun FedML 47 0 0 04 Jun 2024
FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models Tao Fan Guoqiang Ma Yan Kang Hanlin Gu Yuanfeng Song Lixin Fan Kai Chen Qiang Yang 26 9 0 04 Jun 2024
Federated Model Heterogeneous Matryoshka Representation Learning Liping Yi Han Yu Chao Ren Gang Wang Xiaoguang Liu Xiaoxiao Li FedML 45 8 0 01 Jun 2024
Selective Knowledge Sharing for Personalized Federated Learning Under Capacity Heterogeneity Zheng Wang Zheng Wang Zhaopeng Peng Zihui Wang Cheng-i Wang FedML 43 0 0 31 May 2024
Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective Khiem H. Le Nhan Luong-Ha Manh Nguyen-Duc Danh Le-Phuoc Cuong D. Do Kok-Seng Wong FedML 37 1 0 30 May 2024
Decentralized Directed Collaboration for Personalized Federated Learning Yingqi Liu Yifan Shi Qinglun Li Baoyuan Wu Xueqian Wang Li Shen FedML 65 3 0 28 May 2024
FedHPL: Efficient Heterogeneous Federated Learning with Prompt Tuning and Logit Distillation Yuting Ma Lechao Cheng Yaxiong Wang Zhun Zhong Xiaohua Xu Meng Wang FedML 40 4 0 27 May 2024
Towards Client Driven Federated Learning Songze Li Chenqing Zhu FedML 46 0 0 24 May 2024
Leakage-Resilient and Carbon-Neutral Aggregation Featuring the Federated AI-enabled Critical Infrastructure Zehang Deng Ruoxi Sun Minhui Xue Sheng Wen S. Çamtepe Surya Nepal Yang Xiang 45 1 0 24 May 2024
Harnessing Increased Client Participation with Cohort-Parallel Federated Learning Akash Dhasade Anne-Marie Kermarrec Tuan-Anh Nguyen Rafael Pires M. Vos FedML 33 0 0 24 May 2024
FedCache 2.0: Exploiting the Potential of Distilled Data in Knowledge Cache-driven Federated Learning Quyang Pan Sheng Sun Zhiyuan Wu Yuwei Wang Min Liu Bo Gao FedML 58 1 0 22 May 2024
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors Chun-Yin Huang Kartik Srinivas Xin Zhang Xiaoxiao Li DD 58 6 0 19 May 2024
Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations Chuan Chen Tianchi Liao Xiaojun Deng Zihou Wu Sheng Huang Zibin Zheng FedML 44 1 0 16 May 2024
Feature-based Federated Transfer Learning: Communication Efficiency, Robustness and Privacy Feng Wang M. C. Gursoy Senem Velipasalar 43 0 0 15 May 2024
MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis Luyuan Xie Manqing Lin Tianyu Luan Cong Li Yuejian Fang Qingni Shen Zhonghai Wu 36 9 0 10 May 2024
Open Challenges and Opportunities in Federated Foundation Models Towards Biomedical Healthcare Xingyu Li Lu Peng Yuping Wang Weihua Zhang AI4CE MedIm LM&MA 71 5 0 10 May 2024
GOVERN: Gradient Orientation Vote Ensemble for Multi-Teacher Reinforced Distillation Wenjie Zhou Zhenxin Ding Xiaodong Zhang Haibo Shi Junfeng Wang Dawei Yin 41 0 0 06 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 35 2 0 27 Apr 2024
Personalized Federated Learning via Sequential Layer Expansion in Representation Learning Jaewon Jang Bonjun Choi FedML 50 0 0 27 Apr 2024
Breaking the Memory Wall for Heterogeneous Federated Learning with Progressive Training Yebo Wu Li Li Chunlin Tian Chengzhong Xu FedML 36 13 0 20 Apr 2024
Personalized Federated Learning via Stacking Emilio Cantu-Cervini FedML 21 0 0 16 Apr 2024
Unsupervised Federated Optimization at the Edge: D2D-Enabled Learning without Labels Satyavrat Wagle Seyyedali Hosseinalipour Naji Khosravan Christopher G. Brinton FedML 40 2 0 15 Apr 2024
FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity Kai Yi Nidham Gazagnadou Peter Richtárik Lingjuan Lyu 79 11 0 15 Apr 2024
MAP: Model Aggregation and Personalization in Federated Learning with Incomplete Classes Xin-Chun Li Shaoming Song Yinchuan Li Bingshuai Li Yunfeng Shao Yang Yang De-Chuan Zhan FedML 42 9 0 14 Apr 2024
Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach Qing Liu Sheng Sun Keli Zhang Jingjing Xue Min Liu AI4TS 32 2 0 04 Apr 2024
Federated Distillation: A Survey Lin Li Jianping Gou Baosheng Yu Lan Du Zhang Yiand Dacheng Tao DD FedML 59 4 0 02 Apr 2024
An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning Jianqing Zhang Yang Liu Yang Hua Jian Cao 80 11 0 23 Mar 2024
KnFu: Effective Knowledge Fusion Seyed Jamal Seyed-Mohammadi Kawa Atapour J. Abouei Arash Mohammadi FedML 31 2 0 18 Mar 2024
FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning Hong Lin Lidan Shou Ke Chen Gang Chen Sai Wu 32 0 0 07 Mar 2024