Shubham Jha

About

Shubham Jha received his B. Tech. degree in electronics and communication engineering from the Indian Institute of Information Technology Guwahati, India, in 2018. He is currently pursuing a Ph.D. degree with the Robert Bosch Center for Cyber-Physical Systems, Indian Institute of Science, Bengaluru, India. His research interests lie at the intersection of information theory, distributed quantization, and optimization. He is also interested in designing communication-efficient and privacy-coupled federated learning algorithms for wireless systems.

Employment

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Education

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Publications (9)

• Fundamental Limits of Distributed Optimization Over Multiple Access Channel
  IEEE Transactions on Communications 2024 DOI: 10.1109/TCOMM.2024.3395291
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• Wyner-Ziv Estimators for Distributed Mean Estimation With Side Information and Optimization
  IEEE Transactions on Information Theory 2024 DOI: 10.1109/TIT.2023.3315719
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• Universal Gaussian Quantization with Side-Information using Polar Lattices
  IEEE Journal on Selected Areas in Information Theory 2023 DOI: 10.1109/jsait.2023.3247864
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• Wyner-Ziv compression is (almost) optimal for distributed optimization
  2022 IEEE International Symposium on Information Theory (ISIT) 2022 DOI: 10.1109/isit50566.2022.9834730
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• Fundamental Limits of Over-the-Air Optimization: Are Analog Schemes Optimal?
  IEEE Journal on Selected Areas in Information Theory 2022 DOI: 10.1109/jsait.2022.3177582
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• Fundamental limits of over-the-air optimization: Are analog schemes optimal?
  2021
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• Universal interactive Gaussian quantization with side information
  2020 IEEE Information Theory Workshop (ITW) 2021 DOI: 10.1109/itw46852.2021.9457662
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• Wyner-Ziv Estimators for Distributed Mean Estimation with Side Information and Optimization
  2020 DOI: 10.48550/ARXIV.2011.12160
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• Mutual-Information-Based Successive Cancellation List Decoding of Polar Codes
  2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring) 2019 DOI: 10.1109/vtcspring.2019.8746488
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