FedMD: Heterogenous Federated Learning via Model Distillation

8 October 2019

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

50 / 375 papers shown

Title
FedIN: Federated Intermediate Layers Learning for Model Heterogeneity Yun-Hin Chan Zhihan Jiang Jing Deng Edith C.H. Ngai FedML 32 1 0 03 Apr 2023
Neural Collapse Inspired Federated Learning with Non-iid Data Chenxi Huang Liang Xie Yibo Yang Wenxiao Wang Binbin Lin D. Cai FedML 34 3 0 27 Mar 2023
FedGH: Heterogeneous Federated Learning with Generalized Global Header Liping Yi Gang Wang Xiaoguang Liu Zhuan Shi Han Yu FedML 37 72 0 23 Mar 2023
Digital Twin-Assisted Knowledge Distillation Framework for Heterogeneous Federated Learning Xiucheng Wang Nan Cheng Longfei Ma Ruijin Sun Rong Chai Ning Lu FedML 41 11 0 10 Mar 2023
Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT Jiaqi Wang Shenglai Zeng Zewei Long Yaqing Wang Houping Xiao Fenglong Ma 19 16 0 05 Mar 2023
FedPDC:Federated Learning for Public Dataset Correction Yu-quan Zhang Yongquan Zhang FedML 11 0 0 24 Feb 2023
Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning Van Tuan Tran Huy Hieu Pham Kok-Seng Wong FedML 36 7 0 22 Feb 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy Yifei Zhang Dun Zeng Jinglong Luo Zenglin Xu Irwin King FedML 84 47 0 21 Feb 2023
Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective Yash Travadi Le Peng Xuan Bi Ju Sun Mochen Yang FedML 32 3 0 17 Feb 2023
Multimodal Federated Learning via Contrastive Representation Ensemble Qiying Yu Yang Liu Yimu Wang Ke Xu Jingjing Liu 29 81 0 17 Feb 2023
PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees Chulin Xie De-An Huang Wen-Hsuan Chu Daguang Xu Chaowei Xiao Bo-wen Li Anima Anandkumar FedML 26 10 0 13 Feb 2023
Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models Yingchun Wang Jingcai Guo Jie Zhang Song Guo Weizhan Zhang Qinghua Zheng FedML 28 11 0 09 Feb 2023
Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning Xiangrong Zhu Guang-pu Li Wei Hu MU FedML 27 48 0 04 Feb 2023
FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations Hui-Po Wang Dingfan Chen Raouf Kerkouche Mario Fritz FedML DD 26 4 0 02 Feb 2023
The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation Huancheng Chen Johnny J. Wang H. Vikalo FedML 18 35 0 21 Jan 2023
Robust Knowledge Adaptation for Federated Unsupervised Person ReID Jianfeng Weng Kun Hu Tingting Yao Jingya Wang Zhiyong Wang FedML 24 2 0 18 Jan 2023
Knowledge Distillation in Federated Edge Learning: A Survey Zhiyuan Wu Sheng Sun Yuwei Wang Min Liu Xue Jiang Runhan Li Bo Gao FedML 29 4 0 14 Jan 2023
Recent Advances on Federated Learning: A Systematic Survey Bingyan Liu Nuoyan Lv Yuanchun Guo Yawen Li FedML 60 78 0 03 Jan 2023
FedICT: Federated Multi-task Distillation for Multi-access Edge Computing Zhiyuan Wu Sheng Sun Yuwei Wang Min Liu Quyang Pan Xue Jiang Bo Gao 37 31 0 01 Jan 2023
Plankton-FL: Exploration of Federated Learning for Privacy-Preserving Training of Deep Neural Networks for Phytoplankton Classification D. Zhang Vikram S. Voleti Alexander Wong Jason L. Deglint FedML 14 0 0 18 Dec 2022
Modeling Global Distribution for Federated Learning with Label Distribution Skew Tao Sheng Cheng Shen Yuan Liu Yeyu Ou Zhe Qu Jianxin Wang FedML 27 7 0 17 Dec 2022
PGFed: Personalize Each Client's Global Objective for Federated Learning Jun Luo Matías Mendieta Chong Chen Shan-Jyun Wu FedML 35 9 0 02 Dec 2022
Decentralized Learning with Multi-Headed Distillation A. Zhmoginov Mark Sandler Nolan Miller Gus Kristiansen Max Vladymyrov FedML 40 4 0 28 Nov 2022
Scalable Collaborative Learning via Representation Sharing Frédéric Berdoz Abhishek Singh Martin Jaggi Ramesh Raskar FedML 24 3 0 20 Nov 2022
Personalized Federated Learning with Hidden Information on Personalized Prior Mingjia Shi Yuhao Zhou Qing Ye Jiancheng Lv FedML 29 3 0 19 Nov 2022
Personalized Federated Learning with Multi-branch Architecture Junki Mori T. Yoshiyama Ryo Furukawa Isamu Teranishi FedML 31 2 0 15 Nov 2022
Feature Correlation-guided Knowledge Transfer for Federated Self-supervised Learning Yi Liu Song Guo Jie Zhang Qihua Zhou Yingchun Wang Xiaohan Zhao 22 1 0 14 Nov 2022
Robust Federated Learning against both Data Heterogeneity and Poisoning Attack via Aggregation Optimization Yueqi Xie Weizhong Zhang Renjie Pi Fangzhao Wu Qifeng Chen Xing Xie Sunghun Kim FedML 28 7 0 10 Nov 2022
Resource-Aware Heterogeneous Federated Learning using Neural Architecture Search Sixing Yu J. P. Muñoz Ali Jannesari FedML 27 0 0 09 Nov 2022
Knowledge Distillation for Federated Learning: a Practical Guide Alessio Mora Irene Tenison Paolo Bellavista Irina Rish FedML 25 17 0 09 Nov 2022
Closing the Gap between Client and Global Model Performance in Heterogeneous Federated Learning Hongrui Shi Valentin Radu Po Yang FedML 15 1 0 07 Nov 2022
FedTP: Federated Learning by Transformer Personalization Hongxia Li Zhongyi Cai Jingya Wang Jiangnan Tang Weiping Ding Chin-Teng Lin Ye-ling Shi FedML 38 59 0 03 Nov 2022
FL Games: A Federated Learning Framework for Distribution Shifts Sharut Gupta Kartik Ahuja Mohammad Havaei N. Chatterjee Yoshua Bengio OOD FedML 29 18 0 31 Oct 2022
Evaluation and comparison of federated learning algorithms for Human Activity Recognition on smartphones Sannara Ek François Portet P. Lalanda Germán Vega FedML 36 11 0 30 Oct 2022
Completely Heterogeneous Federated Learning Chang-Shu Liu Yuwen Yang Xun Cai Yue Ding Hongtao Lu FedML 20 8 0 28 Oct 2022
Exploiting Features and Logits in Heterogeneous Federated Learning Yun-Hin Chan Edith C.H. Ngai FedML 32 2 0 27 Oct 2022
Addressing Heterogeneity in Federated Learning via Distributional Transformation Haolin Yuan Bo Hui Yuchen Yang Philippe Burlina Neil Zhenqiang Gong Yinzhi Cao FedML OOD 40 13 0 26 Oct 2022
FedClassAvg: Local Representation Learning for Personalized Federated Learning on Heterogeneous Neural Networks Jaehee Jang Heonseok Ha Dahuin Jung Sungroh Yoon FedML 29 40 0 25 Oct 2022
Federated Learning with Privacy-Preserving Ensemble Attention Distillation Xuan Gong Liangchen Song Rishi Vedula Abhishek Sharma Meng Zheng ... Arun Innanje Terrence Chen Junsong Yuan David Doermann Ziyan Wu FedML 23 27 0 16 Oct 2022
A Survey on Heterogeneous Federated Learning Dashan Gao Xin Yao Qian Yang FedML 30 58 0 10 Oct 2022
FedPC: Federated Learning for Language Generation with Personal and Context Preference Embeddings Andrew Silva Pradyumna Tambwekar Matthew C. Gombolay FedML 19 0 0 07 Oct 2022
Federated Learning with Server Learning: Enhancing Performance for Non-IID Data V. Mai R. La Tao Zhang FedML OOD 35 7 0 06 Oct 2022
Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer Learning Feng Wang M. C. Gursoy Senem Velipasalar 19 2 0 12 Sep 2022
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation Xuan Gong Abhishek Sharma Srikrishna Karanam Ziyan Wu Terrence Chen David Doermann Arun Innanje FedML 22 70 0 10 Sep 2022
Federated Transfer Learning with Multimodal Data Yulian Sun FedML 21 4 0 05 Sep 2022
Application of Data Encryption in Chinese Named Entity Recognition Kaifang Long Jikun Dong Shengyu Fan Yanfang Geng Yang Cao Haiying Zhao Hui Yu Weizhi Xu FedML 23 0 0 31 Aug 2022
Towards Federated Learning against Noisy Labels via Local Self-Regularization Xue Jiang Sheng Sun Yuwei Wang Min Liu 27 37 0 25 Aug 2022
Bidirectional Contrastive Split Learning for Visual Question Answering Yuwei Sun H. Ochiai 21 2 0 24 Aug 2022
FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution Mahdi Morafah Saeed Vahidian Weijia Wang Bill Lin OOD FedML 16 37 0 20 Aug 2022
Federated Select: A Primitive for Communication- and Memory-Efficient Federated Learning Zachary B. Charles Kallista A. Bonawitz Stanislav Chiknavaryan H. B. McMahan Blaise Agüera y Arcas FedML 23 13 0 19 Aug 2022