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FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated Clients

FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated Clients

28 February 2025
Leming Shen
Qiang Yang
Kaiyan Cui
Yuanqing Zheng
Xiao-Yong Wei
Jianwei Liu
Jinsong Han
    FedML
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Papers citing "FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated Clients"

4 / 4 papers shown
Title
AutoIOT: LLM-Driven Automated Natural Language Programming for AIoT Applications
Leming Shen
Qiang Yang
Yuanqing Zheng
Mo Li
48
1
0
07 Mar 2025
GPIoT: Tailoring Small Language Models for IoT Program Synthesis and Development
Leming Shen
Qiang Yang
Xinyu Huang
Zijing Ma
Yuanqing Zheng
27
1
0
02 Mar 2025
Robust Federated Learning in Unreliable Wireless Networks: A Client Selection Approach
Robust Federated Learning in Unreliable Wireless Networks: A Client Selection Approach
Yixuan Wang
Wenkai Ji
Jian Zhou
Fu Xiao
Tsung-Hui Chang
41
0
0
24 Feb 2025
Personalized Federated Learning by Structured and Unstructured Pruning
  under Data Heterogeneity
Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity
Saeed Vahidian
Mahdi Morafah
Bill Lin
59
58
0
02 May 2021
1