Author

Mostafa Tavassolipour

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#machine learning Preprint Sep 2026

Joint Domain-Class Modeling for Federated Learning Under Feature Skew

The proposed Joint Domain-Class Federated Learning (JDFL), a lightweight, optimizer-agnostic extension that makes this latent domain variation usable without sharing raw data, and introduces two complementary supervision strategies based on simple intuitions.

Sina Najafi, Mostafa Tavassolipour, S. P. Shariatpanahi · 0 citations

Preprint Aug 2026

Domain-Aware Pruning: Sparsity and Domain Generalization via Regularized Probabilistic Masking

Beyond efficiency and generalization, DAP natively provides increased robustness to adversarial perturbations and yields highly interpretable models, where the retained weights reliably encapsulate the most domain-invariant and task-critical representations.

Parham Sazdar, Mostafa Tavassolipour, Reshad Hosseini · 0 citations