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cs.LG2026
Classifier-Dependent Benefits of Pseudo-Labeling for Semi-Supervised Android Malware Attribution
Md Rafid Islam, Zahid Hasan, Hafiz Abdur Rahman
Detecting and classifying Android malware families remains challenging due to high feature dimensionality, class imbalance, and the high cost of expert-labeled data. Semi-supervise…
cs.LG2026
Exploration-Driven Personalized Federated Reinforcement Learning via Intrinsic Motivation
Md Rafid Islam, Rafsan Jany, Zahid Hasan +1
Personalized Federated Reinforcement Learning (PFRL) takes a decentralized approach to storing and accessing information based on past experiences while keeping each client's data…
cs.LG2022
Demo: RhythmEdge: Enabling Contactless Heart Rate Estimation on the Edge
Zahid Hasan, Emon Dey, Sreenivasan Ramasamy Ramamurthy +2
In this demo paper, we design and prototype RhythmEdge, a low-cost, deep-learning-based contact-less system for regular HR monitoring applications. RhythmEdge benefits over existin…