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
FedMerge: Federated Personalization via Model Merging Shutong Chen Tianyi Zhou Guodong Long Jing Jiang Chengqi Zhang FedML MoMe 47 0 0 09 Apr 2025
Federated Learning for Medical Image Classification: A Comprehensive Benchmark Zhekai Zhou Guibo Luo Mingzhi Chen Zhenyu Weng Yuesheng Zhu FedML 21 0 0 07 Apr 2025
Controlled privacy leakage propagation throughout overlapping grouped learning Shahrzad Kiani Franziska Boenisch S. Draper FedML 72 0 0 06 Mar 2025
Scalable Decentralized Algorithms for Online Personalized Mean Estimation Franco Galante Giovanni Neglia Emilio Leonardi FedML 74 1 0 20 Feb 2025
FedAGHN: Personalized Federated Learning with Attentive Graph HyperNetworks Jiarui Song Yunheng Shen Chengbin Hou Pengyu Wang Jinbao Wang Ke Tang Hairong Lv FedML 44 1 0 24 Jan 2025
PeFLL: Personalized Federated Learning by Learning to Learn Jonathan Scott Hossein Zakerinia Christoph H. Lampert FedML 85 7 0 17 Jan 2025
Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression Junliang Lyu Yixuan Zhang Xiaoling Lu Feng Zhou FedML 62 0 0 14 Dec 2024
Client Contribution Normalization for Enhanced Federated Learning Mayank Kumar Kundalwal Anurag Saraswat Ishan Mishra Deepak Mishra FedML 26 0 0 10 Nov 2024
FedMoE-DA: Federated Mixture of Experts via Domain Aware Fine-grained Aggregation Ziwei Zhan Wenkuan Zhao Yuanqing Li Weijie Liu Xiaoxi Zhang Chee Wei Tan Chuan Wu Deke Guo Xu Chen MoE 27 1 0 04 Nov 2024
Personalized Federated Learning via Feature Distribution Adaptation Connor Mclaughlin Lili Su FedML OOD 35 0 0 01 Nov 2024
Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning P. M. Ghari Yanning Shen FedML 16 1 0 28 Oct 2024
FedSPD: A Soft-clustering Approach for Personalized Decentralized Federated Learning I-Cheng Lin Osman Yagan Carlee Joe-Wong FedML 16 1 0 24 Oct 2024
Federated Communication-Efficient Multi-Objective Optimization Baris Askin Pranay Sharma Gauri Joshi Carlee Joe-Wong FedML 46 1 0 21 Oct 2024
A Bayesian Framework for Clustered Federated Learning Peng Wu Tales Imbiriba Pau Closas FedML 36 0 0 20 Oct 2024
Personalized Federated Learning with Adaptive Feature Aggregation and Knowledge Transfer Keting Yin Jiayi Mao 17 0 0 19 Oct 2024
Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning Boning Zhang Dongzhu Liu Osvaldo Simeone Guanchu Wang Dimitrios Pezaros Guangxu Zhu BDL FedML 21 0 0 18 Oct 2024
Aiding Global Convergence in Federated Learning via Local Perturbation and Mutual Similarity Information Emanuel Buttaci Giuseppe Carlo Calafiore FedML 16 0 0 07 Oct 2024
Federated brain tumor segmentation: an extensive benchmark Matthis Manthe Stefan Duffner Carole Lartizien OOD FedML 27 4 0 07 Oct 2024
Deep Domain Isolation and Sample Clustered Federated Learning for Semantic Segmentation Matthis Manthe Carole Lartizien Stefan Duffner OOD FedML 15 0 0 04 Oct 2024
Collaborative and Efficient Personalization with Mixtures of Adaptors Abdulla Jasem Almansoori Samuel Horváth Martin Takáč FedML 36 2 0 04 Oct 2024
Data Similarity-Based One-Shot Clustering for Multi-Task Hierarchical Federated Learning Abdulmoneam Ali A. Arafa FedML 18 0 0 03 Oct 2024
Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients Youssef Allouah Abdellah El Mrini R. Guerraoui Nirupam Gupta Rafael Pinot FedML 20 0 0 30 Sep 2024
Bandwidth-Aware and Overlap-Weighted Compression for Communication-Efficient Federated Learning Zichen Tang Junlin Huang Rudan Yan Yuxin Wang Zhenheng Tang S. Shi Amelie Chi Zhou Xiaowen Chu FedML 42 2 0 27 Aug 2024
On the Convergence of a Federated Expectation-Maximization Algorithm Zhixu Tao Rajita Chandak Sanjeev R. Kulkarni FedML 18 0 0 11 Aug 2024
UniFed: A Universal Federation of a Mixture of Highly Heterogeneous Medical Image Classification Tasks Atefe Hassani I. Rekik FedML 19 0 0 29 Jul 2024
Defection-Free Collaboration between Competitors in a Learning System Mariel A. Werner Sai Praneeth Karimireddy Michael I. Jordan FedML 14 1 0 22 Jun 2024
Non-Federated Multi-Task Split Learning for Heterogeneous Sources Yilin Zheng A. Eryilmaz FedML 25 0 0 31 May 2024
A GAN-Based Data Poisoning Attack Against Federated Learning Systems and Its Countermeasure Wei Sun Bo Gao Ke Xiong Yuwei Wang AAML FedML 27 2 0 19 May 2024
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors Chun-Yin Huang Kartik Srinivas Xin Zhang Xiaoxiao Li DD 48 5 0 19 May 2024
Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations Chuan Chen Tianchi Liao Xiaojun Deng Zihou Wu Sheng Huang Zibin Zheng FedML 36 2 0 16 May 2024
FEDQ-Trust: Efficient Data-Driven Trust Prediction for Mobile Edge-Based IoT Systems Jiahui Bai Hai Dong A. Bouguettaya 15 1 0 29 Apr 2024
FedTrans: Efficient Federated Learning via Multi-Model Transformation Yuxuan Zhu Jiachen Liu Mosharaf Chowdhury Fan Lai 29 0 0 21 Apr 2024
FedMeS: Personalized Federated Continual Learning Leveraging Local Memory Jingru Xie Chenqi Zhu Songze Li FedML CLL 19 0 0 19 Apr 2024
FedAC: An Adaptive Clustered Federated Learning Framework for Heterogeneous Data Yuxin Zhang Haoyu Chen Zheng Lin Zhe Chen Jin Zhao FedML 36 21 0 25 Mar 2024
FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter Update Ziru Niu Hai Dong •. A. K. Qin 20 1 0 18 Mar 2024
Federated Multi-Task Learning on Non-IID Data Silos: An Experimental Study Yuwen Yang Yuxiang Lu Suizhi Huang Shalayiding Sirejiding Hongtao Lu Yue Ding FedML 29 4 0 20 Feb 2024
ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning Kaan Ozkara Bruce Huang Ruida Zhou Suhas Diggavi 79 0 0 19 Feb 2024
Federated Learning Can Find Friends That Are Advantageous N. Tupitsa Samuel Horváth Martin Takávc Eduard A. Gorbunov FedML 30 2 0 07 Feb 2024
An Auction-based Marketplace for Model Trading in Federated Learning Yue Cui Liuyi Yao Yaliang Li Ziqian Chen Bolin Ding Xiaofang Zhou FedML 24 3 0 02 Feb 2024
Budgeted Online Model Selection and Fine-Tuning via Federated Learning P. M. Ghari Yanning Shen FedML 28 1 0 19 Jan 2024
Personalized Federated Learning of Probabilistic Models: A PAC-Bayesian Approach Mahrokh Ghoddousi Boroujeni Andreas Krause Giancarlo Ferrari-Trecate FedML 23 3 0 16 Jan 2024
Gradient Coreset for Federated Learning D. Sivasubramanian Lokesh Nagalapatti Rishabh K. Iyer Ganesh Ramakrishnan FedML 19 1 0 13 Jan 2024
Factor-Assisted Federated Learning for Personalized Optimization with Heterogeneous Data Feifei Wang Huiyun Tang Yang Li FedML 14 0 0 07 Dec 2023
FedHCA $^2$ : Towards Hetero-Client Federated Multi-Task Learning Yuxiang Lu Suizhi Huang Yuwen Yang Shalayiding Sirejiding Yue Ding Hongtao Lu FedML 26 3 0 22 Nov 2023
Personalized Online Federated Learning with Multiple Kernels P. M. Ghari Yanning Shen 34 13 0 09 Nov 2023
Decentralized Personalized Online Federated Learning Renzhi Wu Saayan Mitra Xiang Chen Anup Rao FedML 22 2 0 08 Nov 2023
Efficient Cluster Selection for Personalized Federated Learning: A Multi-Armed Bandit Approach Zhou Ni Morteza Hashemi FedML 15 1 0 29 Oct 2023
Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning Wenlong Deng Christos Thrampoulidis Xiaoxiao Li 19 12 0 27 Oct 2023
Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms Ye Tian Haolei Weng Yang Feng 11 3 0 23 Oct 2023
PPFL: A Personalized Federated Learning Framework for Heterogeneous Population Hao Di Yi Yang Haishan Ye Xiangyu Chang FedML 20 2 0 22 Oct 2023