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cs.LG2025
SparsyFed: Sparse Adaptive Federated Training
Adriano Guastella, Lorenzo Sani, Alex Iacob +3
Sparse training is often adopted in cross-device federated learning (FL) environments where constrained devices collaboratively train a machine learning model on private data by ex…
cs.LG2025
Federated Unlearning Made Practical: Seamless Integration via Negated Pseudo-Gradients
Alessio Mora, Carlo Mazzocca, Rebecca Montanari +1
The right to be forgotten is a fundamental principle of privacy-preserving regulations and extends to Machine Learning (ML) paradigms such as Federated Learning (FL). While FL enha…