2 papers
cs.LG2025
FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments
Sara Alosaime, Arshad Jhumka
Federated Learning (FL) enables collaborative model training while preserving privacy by allowing clients to share model updates instead of raw data. Pervasive computing environmen…
cs.LG2025
RIFLES: Resource-effIcient Federated LEarning via Scheduling
Sara Alosaime, Arshad Jhumka
Federated Learning (FL) is a privacy-preserving machine learning technique that allows decentralized collaborative model training across a set of distributed clients, by avoiding r…