Dependable AI requires security, privacy, scalability, and sustainability. This talk presents three research pillars: adaptive cybersecurity, federated learning for privacy-preserving edge intelligence, and hierarchical RL for autonomous systems. This talk presents a unified framework combining Hierarchical RL for coordination, RAG for knowledge retrieval, and MCP for tool execution. Drawing on IEEE research, this provides practical guidance for building dependable, cost-effective AI systems across various industries.
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