Abstract Healthcare Internet of Things (IoT) devices generate vast amounts of sensitive patient data, creating significant privacy risks and regulatory challenges when processed through centralized architectures. Federated Learning (FL) offers a promising solution by enabling decentralized model training without sharin...
Vishal Barot, Jashvant Dave, Manoj R. et al.· Scientific Reports· 0 citations
The proliferation of interconnected digital systems, cloud infrastructures, Internet of Things (IoT) devices, industrial control systems, and cyber-physical infrastructures has led to a growth in the complexity of cyber security environments. MLand DL integrated into modern IDSs to identify complex activities in the tr...
Rashid Ayub, Abu Sarwar Zamani, Vishal Barot et al.· Advances in computational in...· 0 citations
This chapter examines federated and distributed learning as a foundation for secure, explainable cyber defense. Centralized AI models create privacy risks, single points of failure, and opaque decisions that resist interpretation. The authors combine federated learning with explainable AI techniques, including SHAP, LI...
Vishal Barot, Abu Sarwar Zamani, Ankit Modi et al.· Advances in computational in...· 0 citations
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