T. Gadekallu

Agentic AI in Healthcare 5.0: Reference Architecture, Applications, and Challenges

Healthcare systems are increasingly data-rich but remain fragmented, reactive, and difficult to coordinate across institutions, devices, and clinical workflows. Healthcare 5.0 addresses these limitations through human-centricity, resilience, and symbiotic human-artificial intelligence (AI) collaboration. This survey po...

Poster: CMA-FL: Cognitive Multi-Agent Federated Learning for Resource-Aware Drone Communication Attack Detection

CMA-FL is proposed, a cognitive multi-agent assisted FL framework for resource-aware intrusion detection in drone communication networks that achieves 99.6% accuracy with 0.99 precision, recall, and F1-score and reduces response time by more than 80% relative to the evaluated FL, edge-cloud, and cloud-only alternatives...

Chain-of-Thought supervision enables explainable and efficient medical summarization with Small Language Models