1 citations · 1 across the 3 of their papers we have counts for
4 papers
Agentic Federated Learning: Rule-Based Client and Server Agents for Adaptive Training
Deepthy K. Bhaskar, VP Binu, B Minimol
Federated Learning (FL) enables collaborative model training across distributed clients without sharing raw data, making it suitable for privacy-sensitive applications such as heal…
Agentic AI for Education: A Unified Multi-Agent Framework for Personalized Learning and Institutional Intelligence
Arya Mary K J, Deepthy K Bhaskar, Sinu T S +1
Agentic Artificial Intelligence (AI) represents a paradigm shift from reactive systems to proactive, autonomous decision making frameworks. Existing AI-based educational systems re…
Robust Federated Learning for Malicious Clients using Loss Trend Deviation Detection
Deepthy K Bhaskar, Minimol B, Binu V P
Federated Learning (FL) facilitates collaborative model training among distributed clients while ensuring that raw data remains on local devices.Despite this advantage, FL systems…
Balancing Security and Privacy: The Pivotal Role of AI in Modern Healthcare Systems
Binu V P, Deepthy K Bhaskar, Minimol B
As digital threats continue to grow, organizations must find ways to enhance security while protecting user privacy. This paper explores how artificial intelligence (AI) plays a cr…