Embedding Byzantine Fault Tolerance into Federated Learning via Virtual Data-Driven Consistency Scoring Plugin

This is an official implementation of the following paper:

Youngjoon Lee, Jinu Gong, and Joonhyuk Kang. [Embedding Byzantine Fault Tolerance into Federated Learning via Virtual Data-Driven Consistency Scoring Plugin]
Under Review.

Requirements

Please install the required packages as below

pip install tensorboard torch medmnist numpy

Federated Learning Techniques

This paper considers the following federated learning techniques

• FedAvg (McMahan, Brendan, et al. AISTATS 2017)
• FedProx (Li, Tian, et al. MLSys 2020)
• FedDyn (Acar, Durmus Alp Emre, et al. ICLR 2021)
• FedRS (Li, X. C., & Zhan, D. C. SIGKDD 2021)
• FedSAM (Qu, Zhe, et al. ICML 2022)
• FedSpeed (Qu, Zhe, et al. ICLR 2023)