Towards Federated Learning on Time-Evolving Heterogeneous Data

Towards Federated Learning on Time-Evolving Heterogeneous Data

25 December 2021

Papers citing "Towards Federated Learning on Time-Evolving Heterogeneous Data"

17 / 17 papers shown

Title
FedRSClip: Federated Learning for Remote Sensing Scene Classification Using Vision-Language Models Hui Lin Chao Zhang Danfeng Hong Kexin Dong Congcong Wen FedML VLM 47 4 0 05 Jan 2025
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Daniel Gutiérrez David Solans Mikko A. Heikkilä A. Vitaletti Nicolas Kourtellis Aris Anagnostopoulos I. Chatzigiannakis OOD 107 3 0 19 Nov 2024
Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift Jianfei Chen Jingfeng Xue Yunhong Wang Zhenyan Liu Lu Huang FedML 28 0 0 24 Oct 2024
ProFL: Performative Robust Optimal Federated Learning Xue Zheng Tian Xie Xuwei Tan Aylin Yener Xueru Zhang Ali Payani Myungjin Lee FedML 35 0 0 23 Oct 2024
Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing Yongxin Guo Lin Wang Xiaoying Tang Tao R. Lin FedML OOD 29 0 0 25 May 2024
Federated Continual Learning via Knowledge Fusion: A Survey Xin Yang Hao Yu Xin Gao Hao Wang Junbo Zhang Tianrui Li FedML 33 31 0 27 Dec 2023
Concept Matching: Clustering-based Federated Continual Learning Xiaopeng Jiang Marcello Restelli FedML 28 0 0 12 Nov 2023
Coordinated Replay Sample Selection for Continual Federated Learning Jack Good Jimit Majmudar Christophe Dupuy Jixuan Wang Charith Peris Clement Chung Richard Zemel Rahul Gupta 25 2 0 23 Oct 2023
Jointly Exploring Client Drift and Catastrophic Forgetting in Dynamic Learning Niklas Babendererde Moritz Fuchs Camila González Yuri Tolkach Anirban Mukhopadhyay OOD FedML 18 2 0 01 Sep 2023
Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts Kun Jin Tongxin Yin Zhong Chen Zeyu Sun Xueru Zhang Yang Liu Mingyan D. Liu OOD FedML 17 6 0 08 May 2023
FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering Yongxin Guo Xiaoying Tang Tao R. Lin OOD FedML 30 8 0 29 Jan 2023
Federated Learning for Data Streams Othmane Marfoq Giovanni Neglia Laetitia Kameni Richard Vidal FedML 24 11 0 04 Jan 2023
Online Federated Learning via Non-Stationary Detection and Adaptation amidst Concept Drift Bhargav Ganguly Vaneet Aggarwal FedML 16 8 0 22 Nov 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
DELTA: Diverse Client Sampling for Fasting Federated Learning Lung-Chuang Wang Yongxin Guo Tao R. Lin Xiaoying Tang FedML 23 22 0 27 May 2022
FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction Yongxin Guo Xiaoying Tang Tao R. Lin FedML 54 27 0 26 May 2022
Test-Time Robust Personalization for Federated Learning Liang Jiang Tao R. Lin FedML OOD TTA 79 43 0 22 May 2022