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

3 March 2024

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 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 Arnab Auddy T. T. Cai Abhinav Chakraborty 31 1 0 28 Jun 2024
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 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 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 Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 160 25,214 0 09 Jun 2011