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.
₹ 1 Cr+
Funding
5+
Active Projects
10+
Researchers
100%
Open Science
Theory and engineering of scalable algorithms for training massive foundational models.
Privacy-preserving decentralized learning protocols for heterogeneous clusters and edge devices.
Optimizing data structures for high-concurrency environments with queries powered by machine learning models.
B-418, R&D Block, IIIT-Delhi,
Okhla Phase III, New Delhi 110020