FedMD: Heterogenous Federated Learning via Model Distillation

8 October 2019

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

50 / 375 papers shown

Title
Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion Duy Phuong Nguyen Sixing Yu J. P. Muñoz Ali Jannesari FedML 21 12 0 16 Aug 2022
FedMR: Fedreated Learning via Model Recombination Ming Hu Zhihao Yue Zhiwei Ling Xian Wei Mingsong Chen FedML 18 0 0 16 Aug 2022
Towards Efficient Communications in Federated Learning: A Contemporary Survey Zihao Zhao Yuzhu Mao Yang Liu Linqi Song Ouyang Ye Xinlei Chen Wenbo Ding FedML 59 60 0 02 Aug 2022
DeFL: Decentralized Weight Aggregation for Cross-silo Federated Learning Jialiang Han Yudong Han Gang Huang Yun Ma FedML 31 4 0 01 Aug 2022
Federated Selective Aggregation for Knowledge Amalgamation Don Xie Ruonan Yu Gongfan Fang Mingli Song Zunlei Feng Xinchao Wang Li Sun Mingli Song FedML 38 3 0 27 Jul 2022
Fine-grained Private Knowledge Distillation Yuntong Li Shaowei Wang Yingying Wang Jin Li Yuqiu Qian Bangzhou Xin Wei Yang 23 0 0 27 Jul 2022
Federated Learning on Adaptively Weighted Nodes by Bilevel Optimization Yan Huang Qihang Lin N. Street Stephen Seung-Yeob Baek FedML 32 9 0 21 Jul 2022
SphereFed: Hyperspherical Federated Learning Xin Dong S. Zhang Ang Li H. T. Kung FedML 47 19 0 19 Jul 2022
Adaptive Personlization in Federated Learning for Highly Non-i.i.d. Data Yousef Yeganeh Azade Farshad Johannes Boschmann Richard Gaus Maximilian Frantzen Nassir Navab FedML OOD 29 2 0 07 Jul 2022
Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms Ehsan Hallaji R. Razavi-Far M. Saif AAML FedML 24 13 0 05 Jul 2022
A Generative Framework for Personalized Learning and Estimation: Theory, Algorithms, and Privacy Kaan Ozkara Antonious M. Girgis Deepesh Data Suhas Diggavi FedML 16 3 0 05 Jul 2022
GOF-TTE: Generative Online Federated Learning Framework for Travel Time Estimation Zhiwen Zhang Hongjun Wang Jiyuan Chen Z. Fan Xuan Song Ryosuke Shibasaki FedML AI4TS 25 10 0 02 Jul 2022
An Empirical Study of Personalized Federated Learning Koji Matsuda Yuya Sasaki Chuan Xiao Makoto Onizuka OOD FedML 27 6 0 27 Jun 2022
FedorAS: Federated Architecture Search under system heterogeneity L. Dudziak Stefanos Laskaridis Javier Fernandez-Marques FedML 39 7 0 22 Jun 2022
FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity Guang-Ming Li Yue Hu Miao Zhang Ji Liu Quanjun Yin Yong Peng Dejing Dou FedML 11 39 0 21 Jun 2022
Adaptive Expert Models for Personalization in Federated Learning Martin Isaksson Edvin Listo Zec R. Coster D. Gillblad vSarunas Girdzijauskas FedML 14 5 0 15 Jun 2022
FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning Meisam Hejazinia Dzmitry Huba Ilias Leontiadis Kiwan Maeng Mani Malek Luca Melis Ilya Mironov Milad Nasr Kaikai Wang Carole-Jean Wu FedML 11 5 0 07 Jun 2022
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning Zhenheng Tang Yonggang Zhang S. Shi Xinfu He Bo Han X. Chu FedML 30 73 0 06 Jun 2022
VFed-SSD: Towards Practical Vertical Federated Advertising Wenjie Li Qiaolin Xia Junfeng Deng Hao Cheng Jiangming Liu Kouying Xue Yong Cheng Shutao Xia FedML 33 6 0 31 May 2022
Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity Kiwan Maeng Haiyu Lu Luca Melis John Nguyen Michael G. Rabbat Carole-Jean Wu FedML 39 31 0 30 May 2022
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation Haokun Chen A. Frikha Denis Krompass Jindong Gu Volker Tresp OOD 30 24 0 30 May 2022
Federated Semi-Supervised Learning with Prototypical Networks Woojun Kim Keondo Park Kihyuk Sohn Raphael Shu Hyung-Sin Kim FedML 21 11 0 27 May 2022
Heterogeneous Collaborative Learning for Personalized Healthcare Analytics via Messenger Distillation Guanhua Ye Tong Chen Yawen Li Li-zhen Cui Quoc Viet Hung Nguyen Hongzhi Yin 35 7 0 27 May 2022
FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction Yongxin Guo Xiaoying Tang Tao R. Lin FedML 57 27 0 26 May 2022
FedEntropy: Efficient Device Grouping for Federated Learning Using Maximum Entropy Judgment Zhiwei Ling Zhihao Yue Jun Xia Ming Hu Ting Wang Mingsong Chen FedML 26 8 0 24 May 2022
Federated Distillation based Indoor Localization for IoT Networks Yaya Etiabi Marwa Chafii El-Mehdi Amhoud FedML 43 15 0 23 May 2022
Communication-Efficient Adaptive Federated Learning Yujia Wang Lu Lin Jinghui Chen FedML 27 71 0 05 May 2022
FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation Jeffry Wicaksana Zengqiang Yan Dong Zhang Xijie Huang Huimin Wu Xin Yang Kwang-Ting Cheng FedML 38 49 0 04 May 2022
AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation Farshid Varno Marzie Saghayi Laya Rafiee Sharut Gupta Stan Matwin Mohammad Havaei FedML 34 30 0 27 Apr 2022
Self-Aware Personalized Federated Learning Huili Chen Jie Ding Eric W. Tramel Shuang Wu Anit Kumar Sahu Salman Avestimehr Tao Zhang FedML 30 26 0 17 Apr 2022
IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation Meirui Jiang Hongzheng Yang Chen Cheng Qianming Dou 37 32 0 16 Apr 2022
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation Zhiyuan Wu Sheng Sun Yuwei Wang Min Liu Quyang Pan Junbo Zhang Zeju Li Qing Liu FedML 29 24 0 14 Apr 2022
CD $^2$ -pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learning Yiqing Shen Yuyin Zhou Lequan Yu OOD 24 55 0 08 Apr 2022
CDKT-FL: Cross-Device Knowledge Transfer using Proxy Dataset in Federated Learning Huy Q. Le Minh N. H. Nguyen Shashi Raj Pandey Chaoning Zhang Choong Seon Hong FedML 31 10 0 04 Apr 2022
Unified and Effective Ensemble Knowledge Distillation Chuhan Wu Fangzhao Wu Tao Qi Yongfeng Huang FedML 27 10 0 01 Apr 2022
Sparse Federated Learning with Hierarchical Personalized Models Xiaofeng Liu Qing Wang Yunfeng Shao Yinchuan Li FedML 47 11 0 25 Mar 2022
FedCAT: Towards Accurate Federated Learning via Device Concatenation Ming Hu Tian Liu Zhiwei Ling Zhihao Yue Mingsong Chen FedML 24 1 0 23 Feb 2022
FedEmbed: Personalized Private Federated Learning Andrew Silva Katherine Metcalf N. Apostoloff B. Theobald FedML 21 6 0 18 Feb 2022
PerFED-GAN: Personalized Federated Learning via Generative Adversarial Networks Xingjian Cao Gang Sun Hongfang Yu Mohsen Guizani FedML 24 56 0 18 Feb 2022
Cross-Silo Heterogeneous Model Federated Multitask Learning Xingjian Cao Zonghang Li Gang Sun Hongfang Yu Mohsen Guizani FedML 27 10 0 17 Feb 2022
No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices Ruixuan Liu Fangzhao Wu Chuhan Wu Yanlin Wang Lingjuan Lyu Hong Chen Xing Xie FedML 19 70 0 16 Feb 2022
Addressing modern and practical challenges in machine learning: A survey of online federated and transfer learning Shuang Dai Fanlin Meng FedML OnRL 40 21 0 07 Feb 2022
Achieving Personalized Federated Learning with Sparse Local Models Tiansheng Huang Shiwei Liu Li Shen Fengxiang He Weiwei Lin Dacheng Tao FedML 30 43 0 27 Jan 2022
Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients Riccardo Zaccone Andrea Rizzardi Debora Caldarola Marco Ciccone Barbara Caputo FedML 58 14 0 26 Jan 2022
FedDTG:Federated Data-Free Knowledge Distillation via Three-Player Generative Adversarial Networks Zhenyuan Zhang Tao Shen Jie M. Zhang Chao-Xiang Wu FedML 15 13 0 10 Jan 2022
Robust Convergence in Federated Learning through Label-wise Clustering Hunmin Lee Yueyang Liu Donghyun Kim Yingshu Li FedML 25 1 0 28 Dec 2021
DENSE: Data-Free One-Shot Federated Learning Jie M. Zhang Chen Chen Bo-wen Li Lingjuan Lyu Shuang Wu Shouhong Ding Chunhua Shen Chao Wu FedML DD 34 104 0 23 Dec 2021
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems Martin Rapp R. Khalili Kilian Pfeiffer J. Henkel 19 18 0 16 Dec 2021
AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep Learning Ayush Chopra Surya Kant Sahu Abhishek Singh Abhinav Java Praneeth Vepakomma Vivek Sharma Ramesh Raskar 32 26 0 02 Dec 2021
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead Marcos F. Criado F. Casado R. Iglesias Carlos V. Regueiro S. Barro FedML 36 76 0 26 Nov 2021