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
Asynchronous Training Schemes in Distributed Learning with Time Delay Haoxiang Wang Zhanhong Jiang Chao Liu S. Sarkar D. Jiang Young M. Lee 15 2 0 28 Aug 2022
Collaborative Algorithms for Online Personalized Mean Estimation Mahsa Asadi A. Bellet Odalric-Ambrym Maillard Marc Tommasi FedML 46 4 0 24 Aug 2022
FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution Mahdi Morafah Saeed Vahidian Weijia Wang Bill Lin OOD FedML 11 37 0 20 Aug 2022
FedVARP: Tackling the Variance Due to Partial Client Participation in Federated Learning Divyansh Jhunjhunwala Pranay Sharma Aushim Nagarkatti Gauri Joshi FedML 44 42 0 28 Jul 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
FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data Wen-Hsuan Chu Chulin Xie Boxin Wang Linyi Li Lang Yin Arash Nourian Hantong Zhao Bo-wen Li FedML 19 12 0 21 Jul 2022
Personalized PCA: Decoupling Shared and Unique Features Naichen Shi Raed Al Kontar 17 14 0 17 Jul 2022
Multi-Model Federated Learning with Provable Guarantees Neelkamal Bhuyan Sharayu Moharir Gauri Joshi FedML 16 14 0 09 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
Federated Latent Class Regression for Hierarchical Data Bin Yang T. Carette Masanobu Jimbo Shinya Maruyama FedML 15 0 0 22 Jun 2022
Personalized Subgraph Federated Learning Jinheon Baek Wonyong Jeong Jiongdao Jin Jaehong Yoon Sung Ju Hwang FedML 11 51 0 21 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
Federated learning with incremental clustering for heterogeneous data F. E. Castellon Aurélien Mayoue Jacques-Henri Sublemontier Cédric Gouy-Pailler FedML 24 8 0 17 Jun 2022
Personalized Federated Learning via Variational Bayesian Inference Xu Zhang Yinchuan Li Wenpeng Li Kaiyang Guo Yunfeng Shao FedML 36 85 0 16 Jun 2022
On Privacy and Personalization in Cross-Silo Federated Learning Ziyu Liu Shengyuan Hu Zhiwei Steven Wu Virginia Smith FedML 20 51 0 16 Jun 2022
Global Convergence of Federated Learning for Mixed Regression Lili Su Jiaming Xu Pengkun Yang FedML 25 7 0 15 Jun 2022
Content Popularity Prediction in Fog-RANs: A Clustered Federated Learning Based Approach Zhiheng Wang Yanxiang Jiang F. Zheng M. Bennis X. You 14 2 0 13 Jun 2022
Hypernetwork-based Personalized Federated Learning for Multi-Institutional CT Imaging Ziyuan Yang Wenjun Xia Zexin Lu Yingyu Chen Xiaoxia Li Yi Zhang FedML OOD 13 28 0 08 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
A Benchmark for Federated Hetero-Task Learning Liuyi Yao Dawei Gao Zhen Wang Yuexiang Xie Weirui Kuang Daoyuan Chen Haohui Wang Chenhe Dong Bolin Ding Yaliang Li FedML 8 9 0 07 Jun 2022
Group privacy for personalized federated learning Filippo Galli Sayan Biswas Kangsoo Jung Tommaso Cucinotta C. Palamidessi FedML 11 12 0 07 Jun 2022
Federated Learning under Distributed Concept Drift Ellango Jothimurugesan Kevin Hsieh Jianyu Wang Gauri Joshi Phillip B. Gibbons FedML 24 46 0 01 Jun 2022
Federated Learning in Non-IID Settings Aided by Differentially Private Synthetic Data Huancheng Chen H. Vikalo FedML 6 13 0 01 Jun 2022
Asynchronous Hierarchical Federated Learning Xing Wang Yijun Wang FedML 24 6 0 31 May 2022
Secure Federated Clustering Songze Li Sizai Hou Baturalp Buyukates A. Avestimehr FedML 23 9 0 31 May 2022
FedAUXfdp: Differentially Private One-Shot Federated Distillation Haley Hoech R. Rischke Karsten Müller Wojciech Samek FedML 11 4 0 30 May 2022
Cali3F: Calibrated Fast Fair Federated Recommendation System Zhitao Zhu Shijing Si Jianzong Wang Jing Xiao FedML 73 14 0 26 May 2022
Federated Self-supervised Learning for Heterogeneous Clients Disha Makhija Nhat Ho Joydeep Ghosh FedML 41 25 0 25 May 2022
Test-Time Robust Personalization for Federated Learning Liang Jiang Tao R. Lin FedML OOD TTA 77 43 0 22 May 2022
Deep Federated Anomaly Detection for Multivariate Time Series Data Wei Zhu Dongjin Song Yuncong Chen Wei Cheng Bo Zong Takehiko Mizoguchi C. Lumezanu Haifeng Chen Jiebo Luo FedML OOD AI4TS 16 5 0 09 May 2022
Uncertainty Minimization for Personalized Federated Semi-Supervised Learning Yanhang Shi Siguang Chen Haijun Zhang FedML 21 8 0 05 May 2022
Exploration and Exploitation in Federated Learning to Exclude Clients with Poisoned Data Shadha Tabatabai Ihab Mohammed Basheer Qolomany A. Albaseer Kashif Ahmad M. Abdallah Ala I. Al-Fuqaha FedML 13 3 0 29 Apr 2022
Personalized Federated Learning with Multiple Known Clusters Boxiang Lyu Filip Hanzely Mladen Kolar FedML 25 3 0 28 Apr 2022
Federated Geometric Monte Carlo Clustering to Counter Non-IID Datasets Federico Lucchetti Jérémie Decouchant Maria Fernandes L. Chen Marcus Volp FedML 17 0 0 23 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
Data-heterogeneity-aware Mixing for Decentralized Learning Yatin Dandi Anastasia Koloskova Martin Jaggi Sebastian U. Stich 23 18 0 13 Apr 2022
Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients Nan Lu Zhao Wang Xiaoxiao Li Gang Niu Qianming Dou Masashi Sugiyama FedML 17 39 0 07 Apr 2022
FedCos: A Scene-adaptive Federated Optimization Enhancement for Performance Improvement Hao Zhang Tingting Wu Siyao Cheng Jie Liu FedML 30 11 0 07 Apr 2022
Sparse Federated Learning with Hierarchical Personalized Models Xiaofeng Liu Qing Wang Yunfeng Shao Yinchuan Li FedML 36 11 0 25 Mar 2022
Towards Effective Clustered Federated Learning: A Peer-to-peer Framework with Adaptive Neighbor Matching Zexi Li Jiaxun Lu Shuang Luo Didi Zhu Yunfeng Shao Yinchuan Li Zhimeng Zhang Yongheng Wang Chao-Xiang Wu FedML 30 36 0 23 Mar 2022
Continual Horizontal Federated Learning for Heterogeneous Data Junki Mori Isamu Teranishi Ryo Furukawa FedML 8 11 0 04 Mar 2022
Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data Y. Cheung Juyong Jiang F. Yu Jian Lou FedML 19 12 0 03 Mar 2022
FLAME: Federated Learning Across Multi-device Environments Hyunsung Cho Akhil Mathur F. Kawsar 11 21 0 17 Feb 2022
Architecture Agnostic Federated Learning for Neural Networks Disha Makhija Xing Han Nhat Ho Joydeep Ghosh FedML 21 40 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
Energy-Aware Edge Association for Cluster-based Personalized Federated Learning Yixuan Li Xiaoqi Qin H. Chen K. Han Ping Zhang FedML 16 13 0 06 Feb 2022
Data Heterogeneity-Robust Federated Learning via Group Client Selection in Industrial IoT Zonghang Li Yihong He Hongfang Yu Jiawen Kang Xiaoping Li Zenglin Xu Dusit Niyato FedML 6 91 0 03 Feb 2022
Personalized Federated Learning via Convex Clustering Aleksandar Armacki Dragana Bajović D. Jakovetić S. Kar FedML 16 16 0 01 Feb 2022
Factorized-FL: Agnostic Personalized Federated Learning with Kernel Factorization & Similarity Matching Wonyong Jeong Sung Ju Hwang FedML 32 4 0 01 Feb 2022
Heterogeneous Federated Learning via Grouped Sequential-to-Parallel Training Shenglai Zeng Zonghang Li Hongfang Yu Yihong He Zenglin Xu Dusit Niyato Han Yu FedML 41 19 0 31 Jan 2022