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pFedES: Model Heterogeneous Personalized Federated Learning with Feature
  Extractor Sharing

pFedES: Model Heterogeneous Personalized Federated Learning with Feature Extractor Sharing

12 November 2023
Liping Yi
Han Yu
Gang Wang
Xiaoguang Liu
ArXivPDFHTML

Papers citing "pFedES: Model Heterogeneous Personalized Federated Learning with Feature Extractor Sharing"

9 / 9 papers shown
Title
Federated Out-of-Distribution Generalization: A Causal Augmentation View
Federated Out-of-Distribution Generalization: A Causal Augmentation View
Runhui Zhang
Sijin Zhou
Zhuang Qi
OOD
FedML
73
1
0
28 Apr 2025
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis
Luyuan Xie
Tianyu Luan
Wenyuan Cai
Guochen Yan
Z. Chen
Nan Xi
Yuejian Fang
Qingni Shen
Zhonghai Wu
Junsong Yuan
FedML
65
0
0
13 Mar 2025
Ten Challenging Problems in Federated Foundation Models
Ten Challenging Problems in Federated Foundation Models
Tao Fan
Hanlin Gu
Xuemei Cao
Chee Seng Chan
Qian Chen
...
Y. Zhang
Xiaojin Zhang
Zhenzhe Zheng
Lixin Fan
Qiang Yang
FedML
83
4
0
14 Feb 2025
Federated Model Heterogeneous Matryoshka Representation Learning
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
MH-pFLID: Model Heterogeneous personalized Federated Learning via
  Injection and Distillation for Medical Data Analysis
MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis
Luyuan Xie
Manqing Lin
Tianyu Luan
Cong Li
Yuejian Fang
Qingni Shen
Zhonghai Wu
36
9
0
10 May 2024
pFedAFM: Adaptive Feature Mixture for Batch-Level Personalization in
  Heterogeneous Federated Learning
pFedAFM: Adaptive Feature Mixture for Batch-Level Personalization in Heterogeneous Federated Learning
Liping Yi
Han Yu
Chao Ren
Heng-Ming Zhang
Gang Wang
Xiaoguang Liu
Xiaoxiao Li
35
2
0
27 Apr 2024
FedSSA: Semantic Similarity-based Aggregation for Efficient
  Model-Heterogeneous Personalized Federated Learning
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning
Liping Yi
Han Yu
Zhuan Shi
Gang Wang
Xiaoguang Liu
Lizhen Cui
Xiaoxiao Li
FedML
40
6
0
14 Dec 2023
Towards Personalized Federated Learning
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
209
840
0
01 Mar 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets
  with Ordered Dropout
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
1