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Kumar Kshitij Patel

PhD student,
Toyota Technological Institute at Chicago (TTIC)
6045 S. Kenwood Ave., Chicago, IL

About Me

I am a fourth year PhD student at Toyota Technological Institute at Chicago (TTIC) advised by Prof. Nati Srebro and Prof. Lingxiao Wang. I am interested in understanding optimization algorithms in practically relevant settings, such as settings with distributed computation and non-convexity. I am interested in understanding the min-max oracle complexity of optimization for these settings specially in presence of data and systems heterogeneity. Recently, I have been studying the game-theoretic considerations for collaboration protocols, such as cross-device federated learning. And also exploring some online robust combinatorial problems with Prof. Rad Niazadeh at the Chicago Booth School.

During summer 2020, I worked with the amazing team at Codeguru, Amazon Web Services as an applied scientist intern. And before joining TTIC, I obtained my BTech in Computer Science and Engineering at Indian Institute of Technology, Kanpur. There I was fortunate to work with Prof. Purushottam Kar on Bandit Learning algorithms. I also spent a year of my undergraduate on academic exchange at École Polytechnique Fédérale de Lausanne (EPFL) where I worked at the Machine Learning and Optimization Laboratory (MLO) with Prof. Martin Jaggi.

[Curriculum Vitae] [Google Scholar]

I am co-organizing a workshop on theoritical advances in Federated Learning this summer at TTIC.
I am also looking for research internships for 2024.


Other Research Activities