Author

Zahid Hasan

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Preprint Aug 2026

Exploration-Driven Personalized Federated Reinforcement Learning via Intrinsic Motivation

Personalized Federated Reinforcement Learning (PFRL) takes a decentralized approach to storing and accessing information based on past experiences while keeping each client's data private during the learning of each client's policy. Many current methods for PFRL rely heavily on exploiting existing reinforcement learnin...

Md. Rafid Islam, Rafsan Jany, Zahid Hasan et al. · 0 citations

#machine learning Preprint Aug 2026

Classifier-Dependent Benefits of Pseudo-Labeling for Semi-Supervised Android Malware Attribution

A systematic evaluation of pseudo-labeling across six classifiers on the CICMalDroid 2020 dataset, using five-fold stratified cross-validation and paired t-tests across five labeled ratios, finds that SSL benefit is strongly classifier-dependent.

Md Rafid Islam, Zahid Hasan, Hafizah Rahman · 0 citations