Adaptive Personalized Federated Learning

30 March 2020

Yuyang Deng

Mohammad Mahdi Kamani

M. Mahdavi

FedML

ArXiv PDF HTML

Papers citing "Adaptive Personalized Federated Learning"

50 / 308 papers shown

Title
Medical Federated Model with Mixture of Personalized and Sharing Components Yawei Zhao Qinghe Liu Xinwang Liu K. He FedML OOD 13 2 0 26 Jun 2023
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off Huiqiang Chen Tianqing Zhu Tao Zhang Wanlei Zhou Philip S. Yu FedML 29 43 0 25 Jun 2023
Personalized Federated Learning with Feature Alignment and Classifier Collaboration Jian Xu Xin-Yi Tong Shao-Lun Huang FedML 26 100 0 20 Jun 2023
Personalized Graph Federated Learning with Differential Privacy François Gauthier Vinay Chakravarthi Gogineni Stefan Werner Yih-Fang Huang A. Kuh FedML 26 7 0 10 Jun 2023
Towards Fast Personalized Semi-Supervised Federated Learning in Edge Networks: Algorithm Design and Theoretical Guarantee Shuai Wang Yanqing Xu Yanli Yuan Tony Q. S. Quek FedML 16 8 0 07 Jun 2023
Federated Domain Generalization: A Survey Ying Li Xingwei Wang Rongfei Zeng Praveen Kumar Donta Ilir Murturi Min Huang Schahram Dustdar OOD FedML AI4CE 42 29 0 02 Jun 2023
Global Layers: Non-IID Tabular Federated Learning Yazan Obeidi FedML 36 0 0 29 May 2023
pFedSim: Similarity-Aware Model Aggregation Towards Personalized Federated Learning Jiahao Tan Yipeng Zhou Gang Liu Jessie Hui Wang Shui Yu FedML 22 13 0 25 May 2023
Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training Yi Shi Yingqi Liu Yan Sun Zihao Lin Li Shen Xueqian Wang Dacheng Tao FedML 40 10 0 24 May 2023
Federated Prompt Learning for Weather Foundation Models on Devices Shen Chen Guodong Long Tao Shen Jing Jiang Tianyi Zhou FedML 20 10 0 23 May 2023
Federated Variational Inference: Towards Improved Personalization and Generalization Elahe Vedadi Joshua V. Dillon Philip Mansfield K. Singhal Arash Afkanpour Warren Morningstar FedML BDL 18 3 0 23 May 2023
Distributed Learning over Networks with Graph-Attention-Based Personalization Zhuojun Tian Zhaoyang Zhang Zhaohui Yang Richeng Jin H. Dai GNN FedML 17 6 0 22 May 2023
Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models Sixing Yu J. P. Muñoz Ali Jannesari AI4CE 19 46 0 19 May 2023
FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment Jiahao Liu Jiang Wu Jinyu Chen Miao Hu Yipeng Zhou Di Wu FedML 16 17 0 10 May 2023
Personalized Federated Learning under Mixture of Distributions Yue Wu Shuaicheng Zhang Wenchao Yu Yanchi Liu Quanquan Gu Dawei Zhou Haifeng Chen Wei Cheng FedML 74 39 0 01 May 2023
Hierarchical and Decentralised Federated Learning Omer F. Rana Theodoros Spyridopoulos Nathaniel Hudson Matt Baughman Kyle Chard Ian T. Foster Aftab Khan 6 11 0 28 Apr 2023
Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMM Ziba Parsons Fei Dou Houyi Du Zheng Song Jin Lu 19 3 0 25 Apr 2023
Federated Learning of Shareable Bases for Personalization-Friendly Image Classification Hong-You Chen Jike Zhong Mingda Zhang Xuhui Jia Qi Boqing Gong Wei-Lun Chao Li Zhang FedML 30 6 0 16 Apr 2023
Automated Federated Learning in Mobile Edge Networks -- Fast Adaptation and Convergence Chaoqun You Kun Guo Gang Feng Peng Yang Tony Q. S. Quek FedML 18 7 0 23 Mar 2023
Hierarchical Personalized Federated Learning Over Massive Mobile Edge Computing Networks Chaoqun You Kun Guo Howard H. Yang Tony Q. S. Quek 35 16 0 19 Mar 2023
Visual Prompt Based Personalized Federated Learning Guang-Ming Li Wansen Wu Yan Sun Li Shen Baoyuan Wu Dacheng Tao FedML VLM 23 18 0 15 Mar 2023
Zone-based Federated Learning for Mobile Sensing Data Xiaopeng Jiang Thinh On Nhathai Phan Hessamaldin Mohammadi Vijaya Datta Mayyuri An M. Chen Ruoming Jin Cristian Borcea FedML 24 6 0 10 Mar 2023
Fusion of Global and Local Knowledge for Personalized Federated Learning Tiansheng Huang Li Shen Yan Sun Weiwei Lin Dacheng Tao FedML 48 12 0 21 Feb 2023
Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI Juexiao Zhou Longxi Zhou Di Wang Xiaopeng Xu Haoyang Li Yuetan Chu Wenkai Han Xin Gao 15 20 0 20 Feb 2023
An Experimental Study of Byzantine-Robust Aggregation Schemes in Federated Learning Shenghui Li Edith C. H. Ngai Thiemo Voigt FedML AAML 16 52 0 14 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 8 10 0 13 Feb 2023
Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting Enyi Jiang Yibo Zhang Oluwasanmi Koyejo FedML 25 4 0 10 Feb 2023
Improving the Model Consistency of Decentralized Federated Learning Yi Shi Li Shen Kang Wei Yan Sun Bo Yuan Xueqian Wang Dacheng Tao FedML 23 51 0 08 Feb 2023
FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering Yongxin Guo Xiaoying Tang Tao R. Lin OOD FedML 30 8 0 29 Jan 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
Graph Federated Learning for CIoT Devices in Smart Home Applications Arash Rasti-Meymandi S. M. Sheikholeslami J. Abouei Konstantinos N. Plataniotis FedML 17 18 0 29 Dec 2022
When Do Curricula Work in Federated Learning? Saeed Vahidian Sreevatsank Kadaveru Woo-Ram Baek Weijia Wang Vyacheslav Kungurtsev C. L. P. Chen M. Shah Bill Lin FedML 32 11 0 24 Dec 2022
Toward Data Heterogeneity of Federated Learning Yuchuan Huang Chen Hu FedML 22 1 0 17 Dec 2022
SplitGP: Achieving Both Generalization and Personalization in Federated Learning Dong-Jun Han Do-Yeon Kim Minseok Choi Christopher G. Brinton Jaekyun Moon FedML 18 31 0 16 Dec 2022
Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning Chenhe Dong Yuexiang Xie Bolin Ding Ying Shen Yaliang Li FedML 19 5 0 12 Dec 2022
Differentiated Federated Reinforcement Learning Based Traffic Offloading on Space-Air-Ground Integrated Networks Yeguang Qin Yilin Yang Fengxiao Tang Xin Yao Mingde Zhao Nei Kato 30 6 0 05 Dec 2022
FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge Yaxin Luopan Rui Han Qinglong Zhang Chi Harold Liu Guoren Wang FedML 23 18 0 04 Dec 2022
PGFed: Personalize Each Client's Global Objective for Federated Learning Jun Luo Matías Mendieta C. L. P. Chen Shan-Jyun Wu FedML 24 9 0 02 Dec 2022
Flow: Per-Instance Personalized Federated Learning Through Dynamic Routing Kunjal Panchal Sunav Choudhary Nisarg Parikh Lijun Zhang Hui Guan 31 5 0 28 Nov 2022
Exploiting Personalized Invariance for Better Out-of-distribution Generalization in Federated Learning Xueyang Tang Song Guo Jie M. Zhang FedML OODD OOD 36 3 0 21 Nov 2022
FedSiam-DA: Dual-aggregated Federated Learning via Siamese Network under Non-IID Data Ming Yang Yanhan Wang Xin Wang Zhenyong Zhang Xiaoming Wu Peng Cheng FedML 28 1 0 17 Nov 2022
Personalized Federated Learning with Multi-branch Architecture Junki Mori T. Yoshiyama Ryo Furukawa Isamu Teranishi FedML 22 2 0 15 Nov 2022
FedRule: Federated Rule Recommendation System with Graph Neural Networks Yuhang Yao Mohammad Mahdi Kamani Zhongwei Cheng Lin Chen Carlee Joe-Wong Tianqiang Liu 17 17 0 13 Nov 2022
More Generalized and Personalized Unsupervised Representation Learning In A Distributed System Yue Yang Jingwei Sun Ang Li H. Li Yiran Chen OOD 31 0 0 11 Nov 2022
Clustered Federated Learning based on Nonconvex Pairwise Fusion Xue Yu Ziyi Liu Wu Wang Yifan Sun FedML 32 7 0 08 Nov 2022
Federated Multilingual Models for Medical Transcript Analysis Andre Manoel Mirian Hipolito Garcia Tal Baumel Shize Su Jialei Chen Dan Miller D. Karmon Robert Sim Dimitrios Dimitriadis 22 13 0 04 Nov 2022
Faster Adaptive Momentum-Based Federated Methods for Distributed Composition Optimization Feihu Huang FedML 20 1 0 03 Nov 2022
Personalized Federated Learning via Heterogeneous Modular Networks Tianchun Wan Wei Cheng Dongsheng Luo Wenchao Yu Jingchao Ni Liang Tong Haifeng Chen Xiang Zhang 26 10 0 26 Oct 2022
FedBA: Non-IID Federated Learning Framework in UAV Networks Peichun Li Zhijun Liu Luyi Chang Jialiang Peng Yi Wu FedML 31 0 0 10 Oct 2022
A Survey on Heterogeneous Federated Learning Dashan Gao Xin Yao Qian Yang FedML 24 58 0 10 Oct 2022