Federated Multi-Task Learning under a Mixture of Distributions

23 August 2021

Papers citing "Federated Multi-Task Learning under a Mixture of Distributions"

50 / 140 papers shown

Title
Adversarial Robustness Unhardening via Backdoor Attacks in Federated Learning Taejin Kim Jiarui Li Shubhranshu Singh Nikhil Madaan Carlee Joe-Wong FedML 12 1 0 17 Oct 2023
Whole-brain radiomics for clustered federated personalization in brain tumor segmentation Matthis Manthe Stefan Duffner Carole Lartizien FedML 22 2 0 17 Oct 2023
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning Mingjia Shi Yuhao Zhou Kai Wang Huaizheng Zhang Shudong Huang Qing Ye Jiangcheng Lv 16 9 0 13 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
A Comprehensive View of Personalized Federated Learning on Heterogeneous Clinical Datasets Fatemeh Tavakoli D. B. Emerson Sana Ayromlou John Jewell Amrit Krishnan Yuchong Zhang A. Verma Fahad Razak FedML 36 1 0 28 Sep 2023
Federated Deep Equilibrium Learning: A Compact Shared Representation for Edge Communication Efficiency Long Tan Le Tuan Dung Nguyen Tung-Anh Nguyen Choong Seon Hong Nguyen H. Tran FedML 19 0 0 27 Sep 2023
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design Mahdi Morafah Weijia Wang Bill Lin FedML 11 6 0 28 Jul 2023
MAS: Towards Resource-Efficient Federated Multiple-Task Learning Weiming Zhuang Yonggang Wen Lingjuan Lyu Shuai Zhang FedML 15 15 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 29 242 0 20 Jul 2023
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey Dongqi Fu Wenxuan Bao Ross Maciejewski Hanghang Tong Jingrui He 24 8 0 10 Jul 2023
Personalized Federated Learning via Amortized Bayesian Meta-Learning Shiyu Liu Shaogao Lv Dun Zeng Zenglin Xu Hongya Wang Yue Yu FedML 10 3 0 05 Jul 2023
FedBone: Towards Large-Scale Federated Multi-Task Learning Yiqiang Chen Teng Zhang Xinlong Jiang Qian Chen Chenlong Gao Wuliang Huang FedML AI4CE 9 11 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 12 0 0 29 Jun 2023
Personalized Federated Learning with Feature Alignment and Classifier Collaboration Jian Xu Xin-Yi Tong Shao-Lun Huang FedML 13 99 0 20 Jun 2023
Provably Personalized and Robust Federated Learning Mariel A. Werner Lie He Michael I. Jordan Martin Jaggi Sai Praneeth Karimireddy FedML 17 11 0 14 Jun 2023
Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization Zhigang Kan Linbo Qiao Hao Yu Liwen Peng Yifu Gao Dongsheng Li 11 20 0 14 Jun 2023
Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements Maryam Molamohammadi Afaf Taik Nicolas Le Roux G. Farnadi 18 1 0 11 Jun 2023
RHFedMTL: Resource-Aware Hierarchical Federated Multi-Task Learning Xing Yi Rongpeng Li Chenghui Peng Fei-Yue Wang Jianjun Wu Zhifeng Zhao 8 1 0 01 Jun 2023
Global Layers: Non-IID Tabular Federated Learning Yazan Obeidi FedML 21 0 0 29 May 2023
FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment Jiahao Liu Jiang Wu Jinyu Chen Miao Hu Yipeng Zhou Di Wu FedML 8 17 0 10 May 2023
FedHB: Hierarchical Bayesian Federated Learning Minyoung Kim Timothy M. Hospedales FedML 17 6 0 08 May 2023
Efficient Personalized Federated Learning via Sparse Model-Adaptation Daoyuan Chen Fandong Meng Dawei Gao Bolin Ding Yaliang Li FedML 96 45 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 61 38 0 01 May 2023
User-Centric Federated Learning: Trading off Wireless Resources for Personalization Mohamad Mestoukirdi Matteo Zecchin David Gesbert Qianrui Li FedML 11 7 0 25 Apr 2023
Personalized Federated Learning via Gradient Modulation for Heterogeneous Text Summarization Rong Pan Jianzong Wang Lingwei Kong Zhangcheng Huang Jing Xiao FedML 14 2 0 23 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 17 6 0 16 Apr 2023
FS-Real: Towards Real-World Cross-Device Federated Learning Daoyuan Chen Dawei Gao Yuexiang Xie Xuchen Pan Zitao Li Yaliang Li Bolin Ding Jingren Zhou 109 26 0 23 Mar 2023
Multi-Task Model Personalization for Federated Supervised SVM in Heterogeneous Networks Aleksei A. Ponomarenko-Timofeev O. Galinina Ravikumar Balakrishnan N. Himayat Sergey D. Andreev Y. Koucheryavy FedML 10 3 0 17 Mar 2023
Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving Xiwen Liang Minzhe Niu Jianhua Han Hang Xu Chunjing Xu Xiaodan Liang VLM 21 13 0 03 Mar 2023
Stochastic Clustered Federated Learning Dun Zeng Xiangjing Hu Shiyu Liu Yue Yu Qifan Wang Zenglin Xu FedML 12 13 0 02 Mar 2023
Personalized Decentralized Federated Learning with Knowledge Distillation Eunjeong Jeong Marios Kountouris FedML 6 16 0 23 Feb 2023
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks Zeyu Qin Liuyi Yao Daoyuan Chen Yaliang Li Bolin Ding Minhao Cheng FedML 15 25 0 03 Feb 2023
FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering Yongxin Guo Xiaoying Tang Tao R. Lin OOD FedML 19 8 0 29 Jan 2023
Does Federated Learning Really Need Backpropagation? H. Feng Tianyu Pang Chao Du Wei-Neng Chen Shuicheng Yan Min-Bin Lin FedML 18 10 0 28 Jan 2023
Graph Learning Across Data Silos Xiang Zhang Qiao Wang 19 1 0 17 Jan 2023
Multi-Task Learning with Prior Information Mengyuan Zhang Kai-Chun Liu 25 1 0 04 Jan 2023
Recent Advances on Federated Learning: A Systematic Survey Bingyan Liu Nuoyan Lv Yuanchun Guo Yawen Li FedML 55 74 0 03 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 22 31 0 01 Jan 2023
FewFedWeight: Few-shot Federated Learning Framework across Multiple NLP Tasks Weilong Dong Xinwei Wu Junzhuo Li Shuangzhi Wu Chao Bian Deyi Xiong FedML 13 6 0 16 Dec 2022
Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning Chenhe Dong Yuexiang Xie Bolin Ding Ying Shen Yaliang Li FedML 11 5 0 12 Dec 2022
Knowledge-Aware Federated Active Learning with Non-IID Data Yu Cao Ye-ling Shi Baosheng Yu Jingya Wang Dacheng Tao FedML 14 16 0 24 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 14 3 0 22 Nov 2022
Personalized Federated Learning with Hidden Information on Personalized Prior Mingjia Shi Yuhao Zhou Qing Ye Jiancheng Lv FedML 8 3 0 19 Nov 2022
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine A. Chaddad Qizong Lu Jiali Li Y. Katib R. Kateb C. Tanougast Ahmed Bouridane Ahmed Abdulkadir OOD 21 35 0 17 Nov 2022
More Generalized and Personalized Unsupervised Representation Learning In A Distributed System Yue Yang Jingwei Sun Ang Li H. Li Yiran Chen OOD 19 0 0 11 Nov 2022
Clustered Federated Learning based on Nonconvex Pairwise Fusion Xue Yu Ziyi Liu Wu Wang Yifan Sun FedML 30 7 0 08 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 20 59 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 16 10 0 26 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 17 10 0 12 Oct 2022
A Survey on Heterogeneous Federated Learning Dashan Gao Xin Yao Qian Yang FedML 14 58 0 10 Oct 2022