How to learn Federated Learning after 12th in Delhi

The degree route

No Delhi college offers a dedicated degree in Federated Learning. The realistic route is a B.Tech in a related branch — at VSET that means B.Tech CSE (AI & ML), which builds engineering foundations that transfer toward Federated Learning, though VSET does not run a dedicated Federated Learning programme — combined with self-driven projects and online specialisation.

How VSET teaches Federated Learning

Federated learning trains a shared model across many devices or institutions without moving raw data to a central server, exchanging model updates instead. It is used where privacy or regulation blocks data pooling. At VSET this maps to engineering foundations that transfer toward Federated Learning, though VSET does not run a dedicated Federated Learning programme.

• Federated learning is not a documented topic in VSET's published AI curriculum at learn.engineering.vips.edu — the honest position is that it is adjacent rather than taught.
• The prerequisites are covered: deep learning, machine learning and distributed system exposure through the CSE programmes.
• The Cyber Security track (B.Tech CSE, Cyber Security) covers the privacy motivation behind federated approaches.
• Students wanting this would pursue it as independent or research work within the AI & ML track.

Where Federated Learning skills lead

Graduates applying Federated Learning skills typically target roles such as Machine Learning Engineer, Privacy Engineer, AI Research Associate, Distributed Systems Engineer, Applied Scientist. Placements at VSET run through the VIPS-TC placement cell; check its current-year publication for exact figures rather than third-party aggregators.

How admission works

Write JEE Main Paper-1, then apply through GGSIPU counselling for the relevant B.Tech programme at VSET. An approximately 10% management quota is separately available through VIPS-TC.