Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints

4 October 2019

Papers citing "Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints"

50 / 389 papers shown

Title
Whole-brain radiomics for clustered federated personalization in brain tumor segmentation Matthis Manthe Stefan Duffner Carole Lartizien FedML 35 2 0 17 Oct 2023
FLrce: Resource-Efficient Federated Learning with Early-Stopping Strategy Ziru Niu Senior Member Ieee Hai Dong •. A. K. Qin Senior Member Ieee Tao Gu 25 4 0 15 Oct 2023
Federated Class-Incremental Learning with Prompting Jiale Liu Yu-Wei Zhan Chong-Yu Zhang Xin Luo Zhen-Duo Chen Yinwei Wei CLL FedML 21 2 0 13 Oct 2023
Utilizing Free Clients in Federated Learning for Focused Model Enhancement Aditya Narayan Ravi Ilan Shomorony FedML 30 0 0 06 Oct 2023
FedL2P: Federated Learning to Personalize Royson Lee Minyoung Kim Da Li Xinchi Qiu Timothy M. Hospedales Ferenc Huszár Nicholas D. Lane FedML 10 0 0 03 Oct 2023
Accelerating Non-IID Federated Learning via Heterogeneity-Guided Client Sampling Huancheng Chen H. Vikalo FedML 8 2 0 30 Sep 2023
Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective Zhen Qin Feiyi Chen Chen Zhi Xueqiang Yan Shuiguang Deng AAML FedML 26 3 0 28 Sep 2023
REPA: Client Clustering without Training and Data Labels for Improved Federated Learning in Non-IID Settings Boris Radovic Veljko Pejović FedML 27 2 0 25 Sep 2023
FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks Qiying Pan Ruofan Wu Tengfei Liu Tianyi Zhang Yifei Zhu Weiqiang Wang FedML 46 9 0 18 Sep 2023
Fingerprint Attack: Client De-Anonymization in Federated Learning Qiongkai Xu Trevor Cohn Olga Ohrimenko FedML 10 2 0 12 Sep 2023
Federated cINN Clustering for Accurate Clustered Federated Learning Yuhao Zhou Minjia Shi Yuxin Tian Yuanxiang Li Qing Ye Jiancheng Lv FedML 17 6 0 04 Sep 2023
Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond Filippo Galli Kangsoo Jung Sayan Biswas C. Palamidessi Tommaso Cucinotta FedML 20 10 0 01 Sep 2023
Federated Two Stage Decoupling With Adaptive Personalization Layers Hangyu Zhu Yuxiang Fan Zhenping Xie FedML 27 3 0 30 Aug 2023
DAG-ACFL: Asynchronous Clustered Federated Learning based on DAG-DLT Xiaofeng Xue Haokun Mao Qiong Li FedML 19 1 0 25 Aug 2023
Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hulls Saurav Prakash Jin Sima Chao Pan Eli Chien O. Milenkovic FedML 42 2 0 14 Aug 2023
You Can Backdoor Personalized Federated Learning Tiandi Ye Cen Chen Yinggui Wang Xiang Li Ming Gao AAML FedML 27 4 0 29 Jul 2023
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design Mahdi Morafah Weijia Wang Bill Lin FedML 26 7 0 28 Jul 2023
Project Florida: Federated Learning Made Easy Daniel Madrigal Diaz Andre Manoel Jia-Lve Chen Nalin Singal Robert Sim 20 4 0 21 Jul 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 33 244 0 20 Jul 2023
Privacy-preserving patient clustering for personalized federated learning Ahmed Elhussein Gamze Gursoy FedML OOD 13 8 0 17 Jul 2023
FedCME: Client Matching and Classifier Exchanging to Handle Data Heterogeneity in Federated Learning Junjun Nie Danyang Xiao Lei Yang Weigang Wu FedML 23 0 0 17 Jul 2023
L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning Yasar Abbas Ur Rehman Yan Gao Pedro Gusmão Mina Alibeigi Jiajun Shen Nicholas D. Lane FedML 32 18 0 14 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 19 70 0 10 Jul 2023
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey Dongqi Fu Wenxuan Bao Ross Maciejewski Hanghang Tong Jingrui He 24 9 0 10 Jul 2023
Improving Federated Aggregation with Deep Unfolding Networks S. Nanayakkara Shiva Raj Pokhrel Gang Li FedML 31 0 0 30 Jun 2023
Elastically-Constrained Meta-Learner for Federated Learning Peng Lan Donglai Chen Chong Xie Keshu Chen Jinyuan He Juntao Zhang Yonghong Chen Yan Xu FedML 20 0 0 29 Jun 2023
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
Structured Cooperative Learning with Graphical Model Priors Shuang-Yang Li Tianyi Zhou Xinmei Tian Dacheng Tao 30 0 0 16 Jun 2023
Provably Personalized and Robust Federated Learning Mariel A. Werner Lie He Michael I. Jordan Martin Jaggi Sai Praneeth Karimireddy FedML 25 11 0 14 Jun 2023
Privacy Preserving Bayesian Federated Learning in Heterogeneous Settings Disha Makhija Joydeep Ghosh Nhat Ho FedML 24 2 0 13 Jun 2023
Optimizing the Collaboration Structure in Cross-Silo Federated Learning Wenxuan Bao Haohan Wang Jun Wu Jingrui He FedML 15 23 0 10 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
Personalized Federated Domain Adaptation for Item-to-Item Recommendation Ziwei Fan Hao Ding Anoop Deoras T. Hoang 30 6 0 05 Jun 2023
Decentralized Federated Learning: A Survey and Perspective Liangqi Yuan Ziran Wang Lichao Sun Philip S. Yu Christopher G. Brinton FedML 34 85 0 02 Jun 2023
Byzantine-Robust Clustered Federated Learning Zhixu Tao Kun Yang Sanjeev R. Kulkarni OOD FedML 18 2 0 01 Jun 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
Asynchronous Multi-Model Dynamic Federated Learning over Wireless Networks: Theory, Modeling, and Optimization Zhangyu Chang Seyyedali Hosseinalipour M. Chiang Christopher G. Brinton 24 3 0 22 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
FedCBO: Reaching Group Consensus in Clustered Federated Learning through Consensus-based Optimization J. Carrillo Nicolas García Trillos Sixu Li Yuhua Zhu FedML 23 17 0 04 May 2023
Efficient Personalized Federated Learning via Sparse Model-Adaptation Daoyuan Chen Fandong Meng Dawei Gao Bolin Ding Yaliang Li FedML 106 47 0 04 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
User-Centric Federated Learning: Trading off Wireless Resources for Personalization Mohamad Mestoukirdi Matteo Zecchin David Gesbert Qianrui Li FedML 22 7 0 25 Apr 2023
Peer-to-Peer Federated Continual Learning for Naturalistic Driving Action Recognition Liangqi Yuan Yunsheng Ma Lu Su Ziran Wang FedML 21 24 0 14 Apr 2023
Learning Personalized Models with Clustered System Identification Leonardo F. Toso Hang Wang James Anderson 24 9 0 03 Apr 2023
Clustered Federated Learning Architecture for Network Anomaly Detection in Large Scale Heterogeneous IoT Networks Xabier Sáez-de-Cámara Jose Luis Flores Cristóbal Arellano A. Urbieta Urko Zurutuza 26 55 0 28 Mar 2023
Adaptive Federated Learning via New Entropy Approach Shensheng Zheng Wenhao Yuan Xuehe Wang Ling-Yu Duan FedML OOD 22 1 0 27 Mar 2023