‪Sai Anuroop Kesanapalli‬ - ‪Google Scholar‬

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2022202320241 16 4

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Co-authors

Yogesh SimmhanAssociate Professor, Indian Institute of ScienceVerified email at iisc.ac.in
Prashanthi S.KIndian Institute of ScienceVerified email at iisc.ac.in
Aakash KhocharePhD Candidate, Indian Institute of ScienceVerified email at iisc.ac.in
B. N. BharathAssistant professor, Dept. of electrical, electronics and communication engineering, IIT DharwadVerified email at iitdh.ac.in

Sai Anuroop Kesanapalli

Sai Anuroop Kesanapalli

Graduate Student, University of Southern California

Verified email at usc.edu - Homepage

Statistical Machine Learning Deep Learning Theory Federated Learning Stochastic Optimization Embedded Computing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Characterizing the performance of accelerated jetson edge devices for training deep learning models P SK, SA Kesanapalli, Y Simmhan Proceedings of the ACM on Measurement and Analysis of Computing Systems 6 (3 …, 2022	16	2022
Don't Miss the Train: A Case for Systems Research into Training on the Edge A Khochare, SA Kesanapalli, R Bhope, Y Simmhan 2022 IEEE International Parallel and Distributed Processing Symposium …, 2022	3	2022
Federated Algorithm with Bayesian Approach: Omni-Fedge SA Kesanapalli, BN Bharath ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021	2	2021
A multimodal architecture with shared encoder that uses spectrograms for audio SA Kesanapalli, R Ranjan, A Goyal, W Tan		2024
ENHANCING THE PRIVACY OF FEDERATED LEARNING THROUGH DATA SYNTHESIS M Yashwanth, SA Kesanapalli, GK Nayak, A Chakraborty, Y Simmhan		2022
Characterizing the Performance of Deep Learning Workloads on Accelerated Edge Computing Devices P SK, SA Kesanapalli, A Khochare, Y Simmhan

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