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Unlocking the Potential of Federated Learning for Deeper Models

Unlocking the Potential of Federated Learning for Deeper Models

5 June 2023
Hao Wang
Xuefeng Liu
Jianwei Niu
Shaojie Tang
Jiaxing Shen
    FedML
    AI4CE
ArXivPDFHTML

Papers citing "Unlocking the Potential of Federated Learning for Deeper Models"

4 / 4 papers shown
Title
Collaborative Active Learning in Conditional Trust Environment
Collaborative Active Learning in Conditional Trust Environment
Zan-Kai Chong
Hiroyuki Ohsaki
Cheng-Kuan Bryan Ng
23
0
0
27 Mar 2024
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
156
459
0
01 May 2021
FedBN: Federated Learning on Non-IID Features via Local Batch
  Normalization
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
Xiaoxiao Li
Meirui Jiang
Xiaofei Zhang
Michael Kamp
Qi Dou
OOD
FedML
168
787
0
15 Feb 2021
Real-time Federated Evolutionary Neural Architecture Search
Real-time Federated Evolutionary Neural Architecture Search
Hangyu Zhu
Yaochu Jin
FedML
147
71
0
04 Mar 2020
1