Decentralized AI Training Internship

About Internship

Professor from MIT School of Computing, India, is accepting interns interested in the field of Computer Science Engineering, in the research area of Artificial intelligence and Machine learning.

This internship focuses on developing and analyzing federated learning systems aligned with regulatory and privacy requirements. Interns will be responsible for collecting and organizing relevant datasets suitable for distributed learning workflows. They will assist in designing the system architecture, ensuring compliance with data-protection principles such as decentralization, anonymization, and secure aggregation. Interns will implement core components of the federated learning pipeline—model distribution, local training, and secure parameter updates—under expert guidance. They will also conduct systematic experimentation, perform result analysis, and prepare structured reports summarizing model performance, scalability, and regulatory alignment.