SafeFL: MPC-friendly framework for private and robust federated learning
Federated learning (FL) has gained widespread popularity in a variety of industries due to its
ability to locally train models on devices while preserving privacy. However, FL systems are …
ability to locally train models on devices while preserving privacy. However, FL systems are …
Enhancing federated learning robustness through randomization and mixture
Protecting data privacy is a significant challenge in machine learning (ML), and federated
learning (FL) has emerged as a decentralized learning solution to address this issue …
learning (FL) has emerged as a decentralized learning solution to address this issue …
SF-CABD: Secure Byzantine fault tolerance federated learning on Non-IID data
X Lin, Y Li, X ** training data on client devices …