2 papers
cs.CR2026
SoK: Federated Learning for Intrusion Detection in Vehicular Networks
Yahya Shahsavari, Reza Nourmohammadi, Sara Rouhani +1
Modern vehicular networks face an expanding attack surface across internal Electronic Control Units (ECUs) and external Vehicle-to-Everything (V2X) communication. Federated Learnin…
cs.LG2024
MultiConfederated Learning: Inclusive Non-IID Data handling with Decentralized Federated Learning
Michael Duchesne, Kaiwen Zhang, Chamseddine Talhi
Federated Learning (FL) has emerged as a prominent privacy-preserving technique for enabling use cases like confidential clinical machine learning. FL operates by aggregating model…