Large Language Models (LLMs) serve as general-purpose interfaces across security operations,threat intelligence,vulnerability & malware analysis,secure coding,and penetration testing by summarizing evidence & aiding analyst reasoning.Despite rapid adoption,challenges persist in data quality,domain adaptation,privacy,re...
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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