Muhammad Shoaib Ayub

Simulation-based multi-objective resource optimization in fog computing using Genetic Algorithms

Efficient task scheduling in heterogeneous fog computing environments remains a challenging problem because latency, energy consumption, and resource utilization are inherently conflicting optimization objectives. Conventional scheduling techniques often rely on static heuristics...

Modality-aware differentially private federated learning for partially observed multimodal healthcare prediction

Multimodal healthcare prediction can benefit from combining structured electronic health records, medical imaging, and acquisition-related metadata, but these modalities are often incompletely observed across patients and unevenly distributed across clinical sites. Federated lear...