Distributed Computing meets Machine Learning

Foundational Research in Distributed AI.

The Distributed Computing & Learning Lab (DCLL) at IIIT-Delhi architects how machine learning scales with distributed and decentralized ecosystems. Our research focuses on scalable distributed algorithms for training large models, privacy-preserving federated learning, and high-concurrency learned data structures to drive the next generation of AI innovation.

Proudly collaborating on India's First Sovereign AI Initiative

with BharatGen Logo

₹ 1 Cr+

Funding

5+

Active Projects

10+

Researchers

100%

Open Science

Research Pillars

Distributed ML

Theory and engineering of scalable algorithms for training massive foundational models.

Federated Learning

Privacy-preserving decentralized learning protocols for heterogeneous clusters and edge devices.

Concurrent Systems

Optimizing data structures for high-concurrency environments with queries powered by machine learning models.

Interested in Distributed ML? We're looking for motivated PhD students.

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Our Location

B-418, R&D Block, IIIT-Delhi,
Okhla Phase III, New Delhi 110020