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

Detecting and classifying Android malware families remains challenging due to high feature dimensionality, class imbalance, and the high cost of expert-labeled data. Semi-supervised learning (SSL) offers a way to leverage unlabeled samples, but prior works rarely test whether SSL benefits generalize across classifier t...

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