Research

Practical Algorithms for Distributed Sampling, Quantization and Optimization

Related Projects

  1. Distributed Optimization for Federated learning under communication-constraints [Mar'21-present] (joint work with Prathmesh Mayekar , Dr. Himanshu Tyagi )


  2. Distributed Markov chain Monte-Carlo under communication constraints[Jul'20-present] (joint work with Dr. Osvaldo Simeone (KCL, UK) , Dr. Himanshu Tyagi)


  3. Practical codes for Universal quantization [Jan'19-Oct'20] (joint work with Dr. Himanshu Tyagi)

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    Publications:

    1. Jha, S., and Tyagi, H., "Universal interactive Gaussian quantization with side information," accepted for publication in ITW 2020.

Other Projects (supported by PMRF grant)

  1. Design of Polar decoders for short-to-medium blocklengths [Jan'18-Apr'19] (joint work with Dr. Kuntal Deka (IIT Goa) , Dr. Shilpa (IIITG))

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    Publications:

    1. Jha, S. K., Deka, K., and Rao, S. , “Mutual-Information-Based Successive Cancellation List Decoding of Polar Codes”, 2019 IEEE 89th Vehicular Technology Conference: VTC2019-Spring, Kuala Lumpur, Malaysia. [link]