B.N.Bharath

B.N.Bharath

Excited about machine learning, building prototypes for federated learning and caching applications!

Openings

  • Two paid internship positions with a possible accomodation is available in my group! Please drop in an email with your short CV attached. The topics will be related to Federated learning, machine learning, large language models, online algorithms/learning for caching problems etc. Duration: May 1st to end of June 2024.
  • Looking for bright PhD and MS students who are interested in mathematical aspects of machine learning and optimization. Please apply from our insitute webpage for these positions.

LIaN Lab

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LIaN stands for Learning, Inference and Networks. As the name indicates, the main focus of the LIAN lab is to solve learning and inference problems in a networked system. We focus on using various tools such as probability theory, distributed stochastic optimization, machine learning, information theory, and signal processing to solve some of the existing real-world problems. Currently, the group is focusing on two broad problem areas, namely caching and distributed (federated) learning. We use online learning to solve problems related to caching. We look at some of the exciting problems in caching such as caching of files, caching of products (as in warehouses), caching of services, etc. A part of my group is looking into the problems related to the theoretical underpinnings of distributed learning. In particular, we answer questions related to generalization, convergence of algorithms, etc. See the publication list to get a view of the kind of problems that we address. Currently, the lab members are working on caching in cellular networks and federated learning with a theoretical focus.

My group comprises of bright research students from diverse backgrounds such as mathematics, computer science, and electrical engineering. The following are the research members of my group:

  • Shruti (Ph.D. student): Distributed/Federated Learning (convergence aspect)
  • Sumit Sah (Ph.D. student): Distributed Learning (Generalization and convergence)
  • Amit Malaghan (Junior Research Fellow): Design and Implementation of online caching algorithms on SDRs
  • Akash Murthy (Co-founder of Euprime, collaborator, and research project member): Working mostly on distributed learning problems

News

  • Congratulations to Shruti! Her paper at Asilomar 2023 got shortlisted for the Best Student Paper Award contest
  • My former undergraduate project student Anuroop got the prestigious J. R. Tata Endowment Scholarship. Congratulations Anuroop!

Alumni list

  • Sawan Mehara at NXP Semiconductors, Bengaluru)
  • Anuroop Sai (At USC, Computer science, Congratulations!)
  • Yash Doshi (Currently, MS student in Canada)
  • Samveed Desai (Pursuing MS at UCSD.)

I am also a part of Euprime Pvt. Ltd., where some of my research is used in real-world applications.