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A Comprehensive Survey of Federated Transfer Learning: Challenges,
  Methods and Applications

A Comprehensive Survey of Federated Transfer Learning: Challenges, Methods and Applications

3 March 2024
Wei Guo
Fuzhen Zhuang
Xiao Zhang
Yiqi Tong
Jin Dong
    FedML
ArXivPDFHTML

Papers citing "A Comprehensive Survey of Federated Transfer Learning: Challenges, Methods and Applications"

6 / 6 papers shown
Title
An Adaptive ML Framework for Power Converter Monitoring via Federated Transfer Learning
An Adaptive ML Framework for Power Converter Monitoring via Federated Transfer Learning
Panagiotis Kakosimos
Alireza Nemat Saberi
Luca Peretti
AI4CE
25
0
0
23 Apr 2025
Minimax And Adaptive Transfer Learning for Nonparametric Classification
  under Distributed Differential Privacy Constraints
Minimax And Adaptive Transfer Learning for Nonparametric Classification under Distributed Differential Privacy Constraints
Arnab Auddy
T. T. Cai
Abhinav Chakraborty
26
1
0
28 Jun 2024
FedACK: Federated Adversarial Contrastive Knowledge Distillation for
  Cross-Lingual and Cross-Model Social Bot Detection
FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection
Yingguang Yang
Renyu Yang
Hao Peng
Yangyang Li
Tong Li
Yong Liao
Pengyuan Zhou
FedML
29
28
0
10 Mar 2023
Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in
  Federated Learning Client Selection
Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection
Shulai Zhang
Zirui Li
Quan Chen
Wenli Zheng
Jingwen Leng
M. Guo
FedML
54
32
0
08 Sep 2021
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
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
160
25,214
0
09 Jun 2011
1