CO-CURRICULAR ACTIVITIES

Department of AIML hosted an insightful technical expert talk on “Federated Learning and Privacy Preserving in AI.” The session was conducted by Mr. A J V Manumohan, Deloitte ADMM Analyst, Bengaluru. With his in-depth expertise in Artificial Intelligence and its industrial applications, Mr. Manumohan offered students valuable insights into modern methods of data privacy, distributed machine learning, and their practical significance. Held from 09:30 AM to 11:30 AM, the session was designed for 5th-semester students and proved both engaging and informative.

Session Overview
Mr. Manumohan structured the talk to emphasize the importance of data privacy in AI systems and introduced Federated Learning (FL) as a promising solution. He began with the fundamental question, “Why Machine Learning?” and discussed the limitations of traditional centralized training, where data from multiple sources is aggregated. He then presented Federated Learning as a paradigm in which models are trained collaboratively across devices or organizations without directly sharing sensitive data, thus preserving privacy while enabling collective intelligence in machine learning applications.