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FedSSA: Semantic Similarity-based Aggregation for Efficient
  Model-Heterogeneous Personalized Federated Learning

FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning

14 December 2023
Liping Yi
Han Yu
Zhuan Shi
Gang Wang
Xiaoguang Liu
Lizhen Cui
Xiaoxiao Li
    FedML
ArXivPDFHTML

Papers citing "FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning"

4 / 4 papers shown
Title
Towards Initialization-Agnostic Clustering with Iterative Adaptive Resonance Theory
Towards Initialization-Agnostic Clustering with Iterative Adaptive Resonance Theory
Xiaozheng Qu
Z. Li
Zhuang Qi
Xiang Li
Haibei Huang
Lei Meng
Xiangxu Meng
51
0
0
07 May 2025
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
FedProto: Federated Prototype Learning across Heterogeneous Clients
FedProto: Federated Prototype Learning across Heterogeneous Clients
Yue Tan
Guodong Long
Lu Liu
Tianyi Zhou
Qinghua Lu
Jing Jiang
Chengqi Zhang
FedML
151
455
0
01 May 2021
Towards Personalized Federated Learning
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
183
840
0
01 Mar 2021
1