Towards Personalized Federated Learning

1 March 2021

Papers citing "Towards Personalized Federated Learning"

50 / 355 papers shown

Title
Federated Learning on Adaptively Weighted Nodes by Bilevel Optimization Yan Huang Qihang Lin N. Street Stephen Seung-Yeob Baek FedML 20 9 0 21 Jul 2022
One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis Onat Dalmaz Muhammad Usama Mirza Gokberk Elmas Muzaffer Özbey S. Dar Emir Ceyani Salman Avestimehr Tolga cCukur MedIm 23 39 0 13 Jul 2022
Personalizing Federated Medical Image Segmentation via Local Calibration Jiacheng Wang Yueming Jin Liansheng Wang FedML 8 31 0 11 Jul 2022
Decentralized digital twins of complex dynamical systems Omer San Suraj Pawar Adil Rasheed AI4CE 30 11 0 07 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 20 10 0 02 Jul 2022
Towards Federated Long-Tailed Learning Zihan Chen Songshan Liu Hualiang Wang Howard H. Yang Tony Q. S. Quek Zuozhu Liu FedML 21 10 0 30 Jun 2022
FedBC: Calibrating Global and Local Models via Federated Learning Beyond Consensus Amrit Singh Bedi Chen Fan Alec Koppel Anit Kumar Sahu Brian M. Sadler Furong Huang Dinesh Manocha FedML 19 3 0 22 Jun 2022
Motley: Benchmarking Heterogeneity and Personalization in Federated Learning Shan-shan Wu Tian Li Zachary B. Charles Yu Xiao Ziyu Liu Zheng Xu Virginia Smith FedML 25 44 0 18 Jun 2022
MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized Healthcare Yiqiang Chen Wang Lu Xin Qin Jindong Wang Xing Xie FedML 33 58 0 17 Jun 2022
Federated Data Analytics: A Study on Linear Models Xubo Yue Raed Al Kontar Ana María Estrada Gómez FedML 21 12 0 15 Jun 2022
Rethinking the Defense Against Free-rider Attack From the Perspective of Model Weight Evolving Frequency Jinyin Chen Mingjun Li Tao Liu Haibin Zheng Yao Cheng Changting Lin AAML 11 10 0 11 Jun 2022
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning Daoyuan Chen Dawei Gao Weirui Kuang Yaliang Li Bolin Ding FedML 25 63 0 08 Jun 2022
FedPop: A Bayesian Approach for Personalised Federated Learning Nikita Kotelevskii Maxime Vono Eric Moulines Alain Durmus FedML 19 34 0 07 Jun 2022
Federated Adversarial Training with Transformers Ahmed Aldahdooh W. Hamidouche Olivier Déforges FedML ViT 20 2 0 05 Jun 2022
FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction Yongxin Guo Xiaoying Tang Tao R. Lin FedML 49 27 0 26 May 2022
Wireless Ad Hoc Federated Learning: A Fully Distributed Cooperative Machine Learning H. Ochiai Yuwei Sun Qingzhe Jin Nattanon Wongwiwatchai Hiroshi Esaki 12 20 0 24 May 2022
Test-Time Robust Personalization for Federated Learning Liang Jiang Tao R. Lin FedML OOD TTA 77 43 0 22 May 2022
Layer-wised Model Aggregation for Personalized Federated Learning Xiaosong Ma Jie M. Zhang Song Guo Wenchao Xu FedML 16 170 0 09 May 2022
Efficient Wireless Federated Learning with Partial Model Aggregation Zhixiong Chen Wenqiang Yi A. Nallanathan Geoffrey Ye Li 42 10 0 20 Apr 2022
IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation Meirui Jiang Hongzheng Yang Chen Cheng Qianming Dou 26 32 0 16 Apr 2022
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity Yuexiang Xie Zhen Wang Dawei Gao Daoyuan Chen Liuyi Yao Weirui Kuang Yaliang Li Bolin Ding Jingren Zhou FedML 19 88 0 11 Apr 2022
Divergence-aware Federated Self-Supervised Learning Weiming Zhuang Yonggang Wen Shuai Zhang FedML 20 97 0 09 Apr 2022
CD $^2$ -pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learning Yiqing Shen Yuyin Zhou Lequan Yu OOD 11 55 0 08 Apr 2022
Privacy-Preserving Aggregation in Federated Learning: A Survey Ziyao Liu Jiale Guo Wenzhuo Yang Jiani Fan Kwok-Yan Lam Jun Zhao FedML 11 87 0 31 Mar 2022
SemiPFL: Personalized Semi-Supervised Federated Learning Framework for Edge Intelligence Arvin Tashakori Wenwen Zhang Z. Jane Wang Peyman Servati 17 19 0 15 Mar 2022
Personalized Federated Learning With Graph Fengwen Chen Guodong Long Zonghan Wu Tianyi Zhou Jing Jiang FedML 15 52 0 02 Mar 2022
Federated Graph Neural Networks: Overview, Techniques and Challenges R. Liu Pengwei Xing Zichao Deng Anran Li Cuntai Guan Han Yu FedML 32 81 0 15 Feb 2022
On the Convergence of Clustered Federated Learning Ma Jie Guodong Long Tianyi Zhou Jing Jiang Chengqi Zhang FedML 31 46 0 13 Feb 2022
Addressing modern and practical challenges in machine learning: A survey of online federated and transfer learning Shuang Dai Fanlin Meng FedML OnRL 32 21 0 07 Feb 2022
Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges Nuria Rodríguez-Barroso Daniel Jiménez López M. V. Luzón Francisco Herrera Eugenio Martínez-Cámara FedML 29 211 0 20 Jan 2022
Federated Continual Learning for Socially Aware Robotics Luke M. Guerdan Hatice Gunes FedML 22 3 0 14 Jan 2022
On-Demand Unlabeled Personalized Federated Learning Ohad Amosy G. Eyal Gal Chechik FedML 29 2 0 16 Nov 2021
Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges Mohammad M. Al-Quraan Lina S. Mohjazi Lina Bariah A. Centeno A. Zoha Sami Muhaidat Mérouane Debbah Muhammad Ali Imran 22 62 0 14 Nov 2021
DACFL: Dynamic Average Consensus Based Federated Learning in Decentralized Topology Zhikun Chen Daofeng Li Jinkang Zhu Sihai Zhang FedML 26 8 0 10 Nov 2021
Towards Fairness-Aware Federated Learning Yuxin Shi Han Yu Cyril Leung FedML 19 79 0 02 Nov 2021
Decentralised Person Re-Identification with Selective Knowledge Aggregation Shitong Sun Guile Wu S. Gong OOD 9 8 0 21 Oct 2021
Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization Junkun Yuan Xu Ma Defang Chen Fei Wu Lanfen Lin Kun Kuang FedML 33 22 0 13 Oct 2021
Personalized Federated Learning for Heterogeneous Clients with Clustered Knowledge Transfer Yae Jee Cho Jianyu Wang Tarun Chiruvolu Gauri Joshi FedML 27 30 0 16 Sep 2021
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning Zelei Liu Yuanyuan Chen Han Yu Yang Liu Li-zhen Cui FedML TDI 11 124 0 05 Sep 2021
Practical and Secure Federated Recommendation with Personalized Masks Liu Yang Ben Tan Bo Liu V. Zheng Kun Guo Kai Chen Qiang Yang FedML 19 16 0 18 Aug 2021
Personalized Federated Learning with Gaussian Processes Idan Achituve Aviv Shamsian Aviv Navon Gal Chechik Ethan Fetaya FedML 19 98 0 29 Jun 2021
FedBABU: Towards Enhanced Representation for Federated Image Classification Jaehoon Oh Sangmook Kim Se-Young Yun FedML 24 200 0 04 Jun 2021
GRNN: Generative Regression Neural Network -- A Data Leakage Attack for Federated Learning Hanchi Ren Jingjing Deng Xianghua Xie SILM AAML FedML 46 100 0 02 May 2021
FedProto: Federated Prototype Learning across Heterogeneous Clients Yue Tan Guodong Long Lu Liu Tianyi Zhou Qinghua Lu Jing Jiang Chengqi Zhang FedML 151 459 0 01 May 2021
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning Shaoxiong Ji Yue Tan Teemu Saravirta Zhiqin Yang Yixin Liu Lauri Vasankari Shirui Pan Guodong Long A. Walid FedML 29 76 0 25 Feb 2021
FedProf: Selective Federated Learning with Representation Profiling Wentai Wu Ligang He Weiwei Lin Carsten Maple FedML 28 1 0 02 Feb 2021
Continual Learning of Generative Models with Limited Data: From Wasserstein-1 Barycenter to Adaptive Coalescence M. Dedeoglu Sen Lin Zhaofeng Zhang Junshan Zhang 9 1 0 22 Jan 2021
FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoring Qiong Wu Xu Chen Zhi Zhou Junshan Zhang FedML 150 270 0 14 Dec 2020
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Xingjun Ma Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 175 355 0 07 Dec 2020
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 186 542 0 30 Mar 2020