Abstract: Federated learning (FL) avoids direct data sharing by exchanging gradients, yet gradient leakage attacks can still reconstruct training samples and labels, particularly for ...
Abstract: A crucial task in predictive maintenance is estimating the remaining useful life of physical systems. In the last decade, deep learning has improved considerably upon traditional model-based ...