FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning

6 January 2024

Papers citing "FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning"

21 / 21 papers shown

Title
Harmonizing Generalization and Personalization in Ring-topology Decentralized Federated Learning Shunxin Guo Jiaqi Lv Xin Geng 49 0 0 27 Apr 2025
Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks Yang Janet Liu Bingjie Yan Tianyuan Zou Jianqing Zhang Zixuan Gu ... J. Li Xiaozhou Ye Ye Ouyang Qiang Yang Y. Zhang ALM 149 1 0 24 Apr 2025
Federated Prototype Graph Learning Zhengyu Wu Xunkai Li Y. X. Zhu R. Li Guoren Wang Chenghu Zhou FedML 43 0 0 13 Apr 2025
Enhancing Visual Representation with Textual Semantics: Textual Semantics-Powered Prototypes for Heterogeneous Federated Learning Xinghao Wu Jianwei Niu Xuefeng Liu Guogang Zhu Jiayuan Zhang Shaojie Tang 53 0 0 16 Mar 2025
FedMSGL: A Self-Expressive Hypergraph Based Federated Multi-View Learning Daoyuan Li Zuyuan Yang Shengli Xie FedML 62 0 0 12 Mar 2025
You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data Shanshan Yan Zexi Li Chao-Xiang Wu Meng Pang Yang Lu Yan Yan Hanzi Wang FedML 61 0 0 10 Mar 2025
FedDyMem: Efficient Federated Learning with Dynamic Memory and Memory-Reduce for Unsupervised Image Anomaly Detection Silin Chen Kangjian Di Yichu Xu Han-Jia Ye Wenhan Luo Ningmu Zou FedML 42 0 0 28 Feb 2025
FedORGP: Guiding Heterogeneous Federated Learning with Orthogonality Regularization on Global Prototypes Fucheng Guo Zeyu Luan Qing Li Dan Zhao Yong-jia Jiang FedML 50 0 0 22 Feb 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 50 1 0 09 Jan 2025
Modality Alignment Meets Federated Broadcasting Yuting Ma Shengeng Tang Xiaohua Xu Lechao Cheng 68 1 0 24 Nov 2024
Adaptive Guidance for Local Training in Heterogeneous Federated Learning Jianqing Zhang Yang Janet Liu Yang Hua Jian Cao Qiang Yang FedML 32 0 0 09 Oct 2024
FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated Long-Tailed Learning Xiuhua Lu Peng Li Xuefeng Jiang FedML 28 3 0 18 Sep 2024
OpenFGL: A Comprehensive Benchmark for Federated Graph Learning Xunkai Li Y. X. Zhu Boyang Pang Guochen Yan Yeyu Yan Zening Li Zhengyu Wu Wentao Zhang Rong-Hua Li Guoren Wang FedML 33 1 0 29 Aug 2024
FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models Rui Ye Rui Ge Xinyu Zhu Jingyi Chai Yaxin Du Yang Liu Yanfeng Wang Siheng Chen FedML 39 14 0 07 Jun 2024
Federated Model Heterogeneous Matryoshka Representation Learning Liping Yi Han Yu Chao Ren Gang Wang Xiaoguang Liu Xiaoxiao Li FedML 43 8 0 01 Jun 2024
FedHPL: Efficient Heterogeneous Federated Learning with Prompt Tuning and Logit Distillation Yuting Ma Lechao Cheng Yaxiong Wang Zhun Zhong Xiaohua Xu Meng Wang FedML 34 4 0 27 May 2024
An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning Jianqing Zhang Yang Janet Liu Yang Hua Jian Cao 80 11 0 23 Mar 2024
Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing Modality Huy Q. Le Chu Myaet Thwal Yu Qiao Ye Lin Tun Minh N. H. Nguyen Choong Seon Hong Choong Seon Hong 65 4 0 25 Jan 2024
FedProto: Federated Prototype Learning across Heterogeneous Clients Yue Tan Guodong Long Lu Liu Tianyi Zhou Qinghua Lu Jing Jiang Chengqi Zhang FedML 153 459 0 01 May 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout Samuel Horváth Stefanos Laskaridis Mario Almeida Ilias Leondiadis Stylianos I. Venieris Nicholas D. Lane 181 267 0 26 Feb 2021
Federated Learning on Non-IID Data Silos: An Experimental Study Q. Li Yiqun Diao Quan Chen Bingsheng He FedML OOD 87 946 0 03 Feb 2021