Sai Anuroop Kesanapalli

About

My pursuit of achieving academic excellence is what drives me forward in my endeavours. My research interests are primarily Federated Learning, Edge-Computing, Knowledge Distillation, Distributed Systems, Distributed Optimization and Stochastic Optimization. Broadly, I am interested in Neural Networks, AI & ML.

I worked as Project Associate - I at Distributed Research on Emerging Applications and Machines Lab (DREAM:Lab), CDS, IISc Bangalore, after having done my B.Tech. in Computer Science and Engineering from IIT Dharwad (graduated, 2021). I was previously a member of Learning, Inference and Networks (LIaN) research group at IIT Dharwad during my bachelors.

I am currently a master's student majoring in Computer Science at the Viterbi School of Engineering in University of Southern California, Los Angeles, having started in Fall 22.

Employment

• Indian Institute of Science Project Associate - I
  2021 - 2022

Education

• University of Southern California Master of Science
  2022 - Present
• Indian Institute of Technology Dharwad Bachelor of Technology
  2017 - 2021

Projects & Funding

Projects & funding information is unavailable.

Publications (6)

• Characterizing the Performance of Accelerated Jetson Edge Devices for Training Deep Learning Models
  ACM SIGMETRICS Performance Evaluation Review 2023 DOI: 10.1145/3606376.3593530
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• Characterizing the Performance of Accelerated Jetson Edge Devices for Training Deep Learning Models
  2023 DOI: 10.1145/3578338.3593530
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• Characterizing the Performance of Accelerated Jetson Edge Devices for Training Deep Learning Models
  Proceedings of the ACM on Measurement and Analysis of Computing Systems 2022 DOI: 10.1145/3570604
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• Don't Miss the Train: A Case for Systems Research into Training on the Edge
  2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) 2022 DOI: 10.1109/ipdpsw55747.2022.00157
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• Characterizing the Performance of Deep Learning Workloads on Accelerated Edge Computing Devices
  8th IEEE International Conference on High Performance Computing, Data & Analytics Student Research Symposium 2021
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• Federated Algorithm with Bayesian Approach: Omni-Fedge
  ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2021 DOI: 10.1109/icassp39728.2021.9413571
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