Think Locally, Act Globally: Federated Learning with Local and Global Representations

6 January 2020

Louis-Philippe Morency

FedML

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Papers citing "Think Locally, Act Globally: Federated Learning with Local and Global Representations"

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Title
Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning Zengxia Guo Bohui An Zhongqi Lu FedML 22 0 0 15 May 2025
Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Md. Tanzib Hosain Asif Zaman Md. Shahriar Sajid Shadman Sakeeb Khan Shanjida Akter 45 0 0 03 May 2025
Byzantine Resilient Federated Multi-Task Representation Learning Tuan Le Shana Moothedath 55 0 0 24 Mar 2025
Moss: Proxy Model-based Full-Weight Aggregation in Federated Learning with Heterogeneous Models Y. Cai Ziqi Zhang Ding Li Yao Guo Xiangqun Chen 55 0 0 13 Mar 2025
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis Luyuan Xie Tianyu Luan Wenyuan Cai Guochen Yan Zhe Chen Nan Xi Yuejian Fang Qingni Shen Zhonghai Wu Junsong Yuan FedML 67 0 0 13 Mar 2025
PeFLL: Personalized Federated Learning by Learning to Learn Jonathan Scott Hossein Zakerinia Christoph H. Lampert FedML 100 7 0 17 Jan 2025
FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning Yanbing Zhou Xiangmou Qu Chenlong You Jiyang Zhou Jingyue Tang Xin Zheng Chunmao Cai Yingbo Wu FedML 58 1 0 09 Jan 2025
Delayed Random Partial Gradient Averaging for Federated Learning Xinyi Hu FedML 43 0 0 31 Dec 2024
FedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant Clients Han Liang Ziwei Zhan Weijie Liu Xiaoxi Zhang Chee Wei Tan Xu Chen FedML 33 0 0 04 Nov 2024
Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models Jun Luo Cheng Chen Shandong Wu FedML VLM MoE 52 3 0 14 Oct 2024
The Effect of Personalization in FedProx: A Fine-grained Analysis on Statistical Accuracy and Communication Efficiency Xin Yu Zelin He Ying Sun Lingzhou Xue Runze Li FedML 26 0 0 11 Oct 2024
Influence-oriented Personalized Federated Learning Yue Tan Guodong Long Jing Jiang Chengqi Zhang FedML 31 0 0 04 Oct 2024
Fair Decentralized Learning Sayan Biswas Anne-Marie Kermarrec Rishi Sharma Thibaud Trinca M. Vos FedML 32 0 0 03 Oct 2024
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning Jiahao Lai J. Li Jian Xu Yanru Wu Boshi Tang Siqi Chen Yongfeng Huang Wenbo Ding Yang Li FedML 73 0 0 09 Sep 2024
On the Convergence of a Federated Expectation-Maximization Algorithm Zhixu Tao Rajita Chandak Sanjeev R. Kulkarni FedML 30 0 0 11 Aug 2024
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations Guogang Zhu Xuefeng Liu Jianwei Niu Shaojie Tang Xinghao Wu Jiayuan Zhang AI4CE 52 1 0 25 Jul 2024
Federated Model Heterogeneous Matryoshka Representation Learning Liping Yi Han Yu Chao Ren Gang Wang Xiaoguang Liu Xiaoxiao Li FedML 45 8 0 01 Jun 2024
pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving Wei-Bin Kou Qingfeng Lin Ming Tang Sheng Xu Rongguang Ye ... Shuai Wang Guofa Li Zhenyu Chen Guangxu Zhu Yik-Chung Wu FedML 52 11 0 07 May 2024
FedCRL: Personalized Federated Learning with Contrastive Shared Representations for Label Heterogeneity in Non-IID Data Chenghao Huang Xiaolu Chen Yanru Zhang Hao Wang FedML 38 1 0 27 Apr 2024
Personalized Federated Learning via Sequential Layer Expansion in Representation Learning Jaewon Jang Bonjun Choi FedML 47 0 0 27 Apr 2024
FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning Rishub Tamirisa Chulin Xie Wenxuan Bao Andy Zhou Ron Arel Aviv Shamsian 33 6 0 03 Apr 2024
Global and Local Prompts Cooperation via Optimal Transport for Federated Learning Hongxia Li Wei Huang Jingya Wang Ye-ling Shi FedML VLM 38 19 0 29 Feb 2024
FedImpro: Measuring and Improving Client Update in Federated Learning Zhenheng Tang Yonggang Zhang S. Shi Xinmei Tian Tongliang Liu Bo Han Xiaowen Chu FedML 24 13 0 10 Feb 2024
Spectral Co-Distillation for Personalized Federated Learning Zihan Chen Howard H. Yang Tony Q. S. Quek Kai Fong Ernest Chong OOD FedML 32 13 0 29 Jan 2024
Energizing Federated Learning via Filter-Aware Attention Ziyuan Yang Zerui Shao Huijie Huangfu Hui Yu Andrew Beng Jin Teoh Xiaoxiao Li Hongming Shan Yi Zhang FedML 40 0 0 18 Nov 2023
Privacy Preservation in Artificial Intelligence and Extended Reality (AI-XR) Metaverses: A Survey Mahdi Alkaeed Adnan Qayyum Junaid Qadir 29 16 0 19 Sep 2023
Aggregating Intrinsic Information to Enhance BCI Performance through Federated Learning Rui Liu Yuanyuan Chen Anran Li Y. Ding Han Yu Cuntai Guan FedML 35 7 0 14 Aug 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 39 244 0 20 Jul 2023
Layer-wise Linear Mode Connectivity Linara Adilova Maksym Andriushchenko Michael Kamp Asja Fischer Martin Jaggi FedML FAtt MoMe 33 15 0 13 Jul 2023
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey Dongqi Fu Wenxuan Bao Ross Maciejewski Hanghang Tong Jingrui He 33 9 0 10 Jul 2023
Structured Cooperative Learning with Graphical Model Priors Shuang-Yang Li Dinesh Manocha Xinmei Tian Dacheng Tao 38 0 0 16 Jun 2023
FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic Systems Rui Song Runsheng Xu Andreas Festag Jiaqi Ma Alois C. Knoll FedML 28 25 0 04 Apr 2023
A Survey on Class Imbalance in Federated Learning Jing Zhang Chuanwen Li Jianzgong Qi Jiayuan He FedML 47 13 0 21 Mar 2023
FedML Parrot: A Scalable Federated Learning System via Heterogeneity-aware Scheduling on Sequential and Hierarchical Training Zhenheng Tang X. Chu Ryan Yide Ran Sunwoo Lee S. Shi Yonggang Zhang Yuxin Wang Alex Liang A. Avestimehr Chaoyang He FedML 20 10 0 03 Mar 2023
Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning Van Tuan Tran Huy Hieu Pham Kok-Seng Wong FedML 36 7 0 22 Feb 2023
Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning Xiangrong Zhu Guang-pu Li Wei Hu MU FedML 27 48 0 04 Feb 2023
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks Zeyu Qin Liuyi Yao Daoyuan Chen Yaliang Li Bolin Ding Minhao Cheng FedML 38 25 0 03 Feb 2023
Robust Knowledge Adaptation for Federated Unsupervised Person ReID Jianfeng Weng Kun Hu Tingting Yao Jingya Wang Zhiyong Wang FedML 24 2 0 18 Jan 2023
FedCliP: Federated Learning with Client Pruning Beibei Li Zerui Shao Ao Liu Peiran Wang FedML 45 1 0 17 Jan 2023
Graph Federated Learning for CIoT Devices in Smart Home Applications Arash Rasti-Meymandi S. M. Sheikholeslami J. Abouei Konstantinos N. Plataniotis FedML 22 18 0 29 Dec 2022
Personalized Federated Learning with Multi-branch Architecture Junki Mori T. Yoshiyama Ryo Furukawa Isamu Teranishi FedML 31 2 0 15 Nov 2022
Clustered Federated Learning based on Nonconvex Pairwise Fusion Xue Yu Ziyi Liu Wu Wang Yifan Sun FedML 34 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 35 59 0 03 Nov 2022
Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces Saeed Vahidian Mahdi Morafah Weijia Wang Vyacheslav Kungurtsev Cheng Chen M. Shah Bill Lin FedML 46 45 0 21 Sep 2022
FedDAR: Federated Domain-Aware Representation Learning Aoxiao Zhong Hao He Zhaolin Ren Na Li Quanzheng Li OOD AI4CE 29 9 0 08 Sep 2022
Reducing Impacts of System Heterogeneity in Federated Learning using Weight Update Magnitudes Irene Wang 32 1 0 30 Aug 2022
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification Aliaksandra Shysheya J. Bronskill Massimiliano Patacchiola Sebastian Nowozin Richard Turner 3DH FedML 40 27 0 17 Jun 2022
On Privacy and Personalization in Cross-Silo Federated Learning Ziyu Liu Shengyuan Hu Zhiwei Steven Wu Virginia Smith FedML 22 51 0 16 Jun 2022
Matching Pursuit Based Scheduling for Over-the-Air Federated Learning Ali Bereyhi Adela Vagollari S. Asaad R. Muller W. Gerstacker H. Vincent Poor 23 6 0 14 Jun 2022
Federated Learning with GAN-based Data Synthesis for Non-IID Clients Zijian Li Jiawei Shao Yuyi Mao Jessie Hui Wang Jinchao Zhang FedML 15 39 0 11 Jun 2022