2 papers
cs.LG2026
Federated Explainable Artificial Intelligence: Roles, Architectures, Evaluation, and Open Challenges
Masoume Gholizade, Fabrizio Ruffini, Pietro Ducange +1
Federated Learning (FL) has emerged as a key paradigm for privacy-preserving collaborative model training across distributed and heterogeneous data sources. By keeping raw data loc…
cs.LG2026
Federated continual learning: A comprehensive survey on lifelong and privacy-preserving learning over distributed and non-stationary data
Masoume Gholizade, Fabrizio Ruffini, Pietro Ducange +1
Federated Learning (FL) enables collaborative and privacy-preserving model training across distributed clients, but most existing FL systems implicitly assume data stationarity. In…