Search Results - "Subramaniam, Adarsh"

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  1. 1

    Adaptive Step-Size Methods for Compressed SGD with Memory Feedback by Subramaniam, Adarsh M., Magesh, Akshayaa, Veeravalli, Venugopal V.

    Published in IEEE transactions on signal processing (01-01-2024)
    “…Distributed and decentralized optimization problems, such as those encountered in federated learning, often suffer from a communication bottleneck at compute…”
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    Journal Article
  2. 2

    Adaptive Step-Size Methods for Compressed SGD by Subramaniam, Adarsh M., Magesh, Akshayaa, Veeravalli, Venugopal V.

    “…Compressed Stochastic Gradient Descent (SGD) algorithms have been proposed to address the communication bottleneck in distributed and decentralized…”
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    Conference Proceeding
  3. 3

    Random Khatri-Rao-Product Codes for Numerically-Stable Distributed Matrix Multiplication by Subramaniam, Adarsh M., Heidarzadeh, Anoosheh, Narayanan, Krishna R.

    “…We propose a class of codes called random Khatri- Rao-Product (RKRP) codes for distributed matrix multiplication in the presence of stragglers. The main…”
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    Conference Proceeding
  4. 4

    Collaborative Decoding of Polynomial Codes for Distributed Computation by Subramaniam, Adarsh M., Heidarzadeh, Anoosheh, Narayanan, Krishna R.

    “…We show that Polynomial codes (and some related codes) used for distributed matrix multiplication are interleaved Generalized Reed-Solomon codes and hence, can…”
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    Conference Proceeding
  5. 5

    Product Lagrange Coded Computing by Subramaniam, Adarsh M., Heidarzadeh, Anoosheh, Pradhan, Asit Kumar, Narayanan, Krishna R.

    “…This work considers the distributed multivariate polynomial evaluation (DMPE) problem using a master-worker framework, which was originally considered by Yu et…”
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    Conference Proceeding
  6. 6

    To be remembered: B cell memory response against SARS‐CoV‐2 and its variants in vaccinated and unvaccinated individuals by Ahmed, Nafees, Athavale, Atharv, Tripathi, Ankita H., Subramaniam, Adarsh, Upadhyay, Santosh K., Pandey, Anil Kumar, Rai, Ramesh Chandra, Awasthi, Amit

    Published in Scandinavian journal of immunology (01-02-2024)
    “…COVID‐19 disease has plagued the world economy and affected the overall well‐being and life of most of the people. Natural infection as well as vaccination…”
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    Journal Article
  7. 7

    Revisiting AES SBox Composite Field Implementations for FPGAs by Pradeep, Aditya, Mohanty, Vishal, Subramaniam, Adarsh Muthuveeru, Rebeiro, Chester

    Published in IEEE embedded systems letters (01-09-2019)
    “…Composite fields are used for implementing the advanced encryption standard (AES) SBox when compact and side-channel resistant constructions are required. The…”
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    Journal Article
  8. 8

    Track-MDP: Reinforcement Learning for Target Tracking with Controlled Sensing by Subramaniam, Adarsh M, Gerogiannis, Argyrios, Hare, James Z, Veeravalli, Venugopal V

    Published 18-07-2024
    “…State of the art methods for target tracking with sensor management (or controlled sensing) are model-based and are obtained through solutions to Partially…”
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    Journal Article
  9. 9

    Adaptive Step-Size Methods for Compressed SGD by Subramaniam, Adarsh M, Magesh, Akshayaa, Veeravalli, Venugopal V

    Published 20-07-2022
    “…Compressed Stochastic Gradient Descent (SGD) algorithms have been recently proposed to address the communication bottleneck in distributed and decentralized…”
    Get full text
    Journal Article
  10. 10

    Random Khatri-Rao-Product Codes for Numerically-Stable Distributed Matrix Multiplication by Subramaniam, Adarsh M, Heidarzadeh, Anoosheh, Narayanan, Krishna R

    Published 12-07-2019
    “…We propose a class of codes called random Khatri-Rao-Product (RKRP) codes for distributed matrix multiplication in the presence of stragglers. The main…”
    Get full text
    Journal Article
  11. 11

    Collaborative Decoding of Polynomial Codes for Distributed Computation by Subramaniam, Adarsh M, Heiderzadeh, Anoosheh, Narayanan, Krishna R

    Published 31-05-2019
    “…We show that polynomial codes (and some related codes) used for distributed matrix multiplication are interleaved Reed-Solomon codes and, hence, can be…”
    Get full text
    Journal Article
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