PROJECTS
Scalable Framework for Large Language Models.
In collaboration with: BharatGen.
Duration: November 2025 to onging
Description:
This project aims to develop a framework for training, inference, and improvement of Large Language Models (LLMs).
Scalable Federated Learning.
Funded by: Infosys Center for Artificial Intelligence (CAI), IIIT-Delhi.
Duration: April 2024 to March 2027
Funding Amount: ₹ 10,00,000.
Description:
This project aims to develop a scalable framework for Federated Learning.
Federated Automated Machine Learning.
Funded by: Indo-French Centre for the Promotion of Advanced Research (CEFIPRA).
Duration: October 2023 to September 2026
Funding Amount: ₹ 21,61,303.
Description:
The work on this project includes design, implementation and analysis of algorithms for Federated Neural Architure Search.
An Efficient Non-Blocking Framework for Large-Scale Graph Analytics.
Funded by: Science and Engineering Research Board (SERB), India.
Duration: February 2023 to January 2026
Funding Amount: ₹ 18,82,408.
Description:
The work on this project includes design, implementation and analysis of algorithms for Concurrent Real Time Graph Analytics.
Scalable Big Data Structures.
Funded by: Science and Engineering Research Board (SERB), India.
Duration: October 2022 to September 2024
Funding Amount: ₹ 31,90,000.
Description:
The work on this project includes design, implementation and analysis of algorithms for Concurrent Data Structures and Learned Data Structures.