Towards Personalized Federated Learning

1 March 2021

Papers citing "Towards Personalized Federated Learning"

50 / 355 papers shown

Title
Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey Jiajun Wu Steve Drew Fan Dong Zhuangdi Zhu Jiayu Zhou FedML 45 46 0 06 Feb 2023
Cross-Fusion Rule for Personalized Federated Learning Wangzhuo Yang Bo Chen Yijun Shen Jiong Liu Li Yu FedML 9 0 0 06 Feb 2023
Federated Temporal Difference Learning with Linear Function Approximation under Environmental Heterogeneity Han Wang A. Mitra Hamed Hassani George J. Pappas James Anderson FedML 24 21 0 04 Feb 2023
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks Zeyu Qin Liuyi Yao Daoyuan Chen Yaliang Li Bolin Ding Minhao Cheng FedML 33 25 0 03 Feb 2023
Clustered Embedding Learning for Recommender Systems Yizhou Chen Guangda Huzhang Anxiang Zeng Qingtao Yu Hui Sun Hengyi Li Jingyi Li Yabo Ni Han Yu Zhiming Zhou 17 9 0 03 Feb 2023
Privacy Preserving Ultra-Short-term Wind Power Prediction Based on Secure Multi Party Computation Hang Fan Xiaoyu Fan Tianyi Hao Wei Wei Kung Chen Guosai Wang Xiaofeng Jia Yidong Li Wei-ping Xu 17 3 0 31 Jan 2023
Personalised Federated Learning On Heterogeneous Feature Spaces A. Rakotomamonjy Maxime Vono H. M. Ruiz L. Ralaivola FedML 18 8 0 26 Jan 2023
Federated Recommendation with Additive Personalization Zhiwei Li Guodong Long Tianyi Zhou FedML 28 15 0 22 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
Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks Xiaofan Yu L. Cherkasova Hars Vardhan Quanling Zhao Emily Ekaireb Xiyuan Zhang A. Mazumdar T. Rosing 17 23 0 17 Jan 2023
Graph Learning Across Data Silos Xiang Zhang Qiao Wang 24 1 0 17 Jan 2023
Federated Transfer-Ordered-Personalized Learning for Driver Monitoring Application Liangqi Yuan Lu Su Ziran Wang 28 18 0 12 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 35 31 0 01 Jan 2023
Source-Free Unsupervised Domain Adaptation: A Survey Yuqi Fang P. Yap W. Lin Hongtu Zhu Mingxia Liu 130 90 0 31 Dec 2022
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
Deep Unfolding-based Weighted Averaging for Federated Learning in Heterogeneous Environments Ayano Nakai-Kasai T. Wadayama FedML 14 0 0 23 Dec 2022
Towards Fleet-wide Sharing of Wind Turbine Condition Information through Privacy-preserving Federated Learning Lorin Jenkel S. Jonas Angela Meyer FedML 33 6 0 07 Dec 2022
Tackling Data Heterogeneity in Federated Learning with Class Prototypes Yutong Dai Z. Chen Junnan Li Shelby Heinecke Lichao Sun Ran Xu FedML 15 77 0 06 Dec 2022
PGFed: Personalize Each Client's Global Objective for Federated Learning Jun Luo Matías Mendieta C. L. P. Chen Shan-Jyun Wu FedML 22 9 0 02 Dec 2022
Decentralized Learning with Multi-Headed Distillation A. Zhmoginov Mark Sandler Nolan Miller Gus Kristiansen Max Vladymyrov FedML 30 4 0 28 Nov 2022
Flow: Per-Instance Personalized Federated Learning Through Dynamic Routing Kunjal Panchal Sunav Choudhary Nisarg Parikh Lijun Zhang Hui Guan 29 5 0 28 Nov 2022
Vertical Federated Learning: Concepts, Advances and Challenges Yang Liu Yan Kang Tianyuan Zou Yanhong Pu Yuanqin He Xiaozhou Ye Ye Ouyang Yaqin Zhang Qian Yang FedML 48 160 0 23 Nov 2022
Fed-TDA: Federated Tabular Data Augmentation on Non-IID Data Shaoming Duan Chuanyi Liu Peiyi Han Tianyu He Yifeng Xu Qiyuan Deng FedML 25 3 0 22 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
Personalized Federated Learning with Hidden Information on Personalized Prior Mingjia Shi Yuhao Zhou Qing Ye Jiancheng Lv FedML 21 3 0 19 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 26 1 0 17 Nov 2022
FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data Tailin Zhou Jun Zhang Danny H. K. Tsang FedML 15 57 0 17 Nov 2022
Personalized Federated Learning with Multi-branch Architecture Junki Mori T. Yoshiyama Ryo Furukawa Isamu Teranishi FedML 17 2 0 15 Nov 2022
Resilience of Wireless Ad Hoc Federated Learning against Model Poisoning Attacks Naoya Tezuka H. Ochiai Yuwei Sun Hiroshi Esaki AAML 22 4 0 07 Nov 2022
On the Domain Adaptation and Generalization of Pretrained Language Models: A Survey Xu Guo Han Yu LM&MA VLM 23 29 0 06 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 20 13 0 04 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 30 59 0 03 Nov 2022
Explainable AI over the Internet of Things (IoT): Overview, State-of-the-Art and Future Directions Senthil Kumar Jagatheesaperumal Viet Quoc Pham Rukhsana Ruby Zhaohui Yang Chunmei Xu Zhaoyang Zhang 24 50 0 02 Nov 2022
Completely Heterogeneous Federated Learning Chang-Shu Liu Yuwen Yang Xun Cai Yue Ding Hongtao Lu FedML 20 8 0 28 Oct 2022
Prototype-Based Layered Federated Cross-Modal Hashing Jiale Liu Yu-Wei Zhan Xin Luo Zhen-Duo Chen Yongxin Wang Xin-Shun Xu FedML 22 2 0 27 Oct 2022
Personalized Federated Learning via Heterogeneous Modular Networks Tianchun Wan Wei Cheng Dongsheng Luo Wenchao Yu Jingchao Ni Liang Tong Haifeng Chen Xiang Zhang 24 10 0 26 Oct 2022
Hierarchical Federated Learning with Momentum Acceleration in Multi-Tier Networks Zhengjie Yang Sen Fu Wei Bao Dong Yuan Albert Y. Zomaya FedML 34 5 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 21 39 0 25 Oct 2022
Physical Layer Security -- from Theory to Practice Miroslav Mitev Thuy M. Pham A. Chorti A. Barreto G. Fettweis 22 9 0 24 Oct 2022
Find Your Friends: Personalized Federated Learning with the Right Collaborators Yi Sui Junfeng Wen Yenson Lau Brendan Leigh Ross Jesse C. Cresswell FedML 25 10 0 12 Oct 2022
A Survey on Heterogeneous Federated Learning Dashan Gao Xin Yao Qian Yang FedML 22 58 0 10 Oct 2022
Depersonalized Federated Learning: Tackling Statistical Heterogeneity by Alternating Stochastic Gradient Descent Yujie Zhou Zhidu Li Tong Tang Ruyang Wang FedML 19 0 0 07 Oct 2022
Group Personalized Federated Learning Zhe Liu Yue Hui Fuchun Peng FedML 26 2 0 04 Oct 2022
Personalized Federated Learning with Communication Compression El Houcine Bergou Konstantin Burlachenko Aritra Dutta Peter Richtárik FedML 72 9 0 12 Sep 2022
Tensor Decomposition based Personalized Federated Learning Qing Wang Jing Jin Xiaofeng Liu Huixuan Zong Yunfeng Shao Yinchuan Li FedML 19 3 0 27 Aug 2022
Achieving Fairness in Dermatological Disease Diagnosis through Automatic Weight Adjusting Federated Learning and Personalization Gelei Xu Yawen Wu Jingtong Hu Yiyu Shi FedML 25 2 0 23 Aug 2022
Prospects of federated machine learning in fluid dynamics Omer San Suraj Pawar Adil Rasheed FedML AI4CE 13 4 0 15 Aug 2022
Personalizing or Not: Dynamically Personalized Federated Learning with Incentives Zichen Ma Yu Lu Wenye Li Shuguang Cui FedML 6 1 0 12 Aug 2022
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications Xingbo Fu Binchi Zhang Yushun Dong Chen Chen Jundong Li FedML OOD AI4CE 26 35 0 24 Jul 2022
Handling Data Heterogeneity in Federated Learning via Knowledge Distillation and Fusion Xu Zhou Xinyu Lei Cong Yang Yichun Shi Xiao Zhang Jin-Yang Shi FedML 17 0 0 23 Jul 2022