IEEE

Distributed Federated Deep Learning in Clustered Internet of Things Wireless Networks With Data Similarity-Based Client Participation

Abstract: Federated deep learning is the method of choice for performing deep learning in environments where data sharing is not allowed due to privacy/security issues. However, all of the solutions ...
IEEE

EFLSS: An Efficient Federated Learning Security Scheme in Byzantine Attack Scenarios

Abstract: Federated Learning (FL), a distributed machine learning approach, aims to protect user privacy by performing model training without centralized data collection. However, FL systems are ...