1 citations · 1 across the 3 of their papers we have counts for
3 papers
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…
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…
Arithmetic Operators over Finite Field GF() for Error Correction Codes Application
Saeideh Nabipour, Masoume Gholizade
Galois field arithmetic circuits find application in a range of domains including error correction codes, communications, signal processing, and security engineering. This paper ai…