4 papers
Track-MDP: Reinforcement Learning for Target Tracking with Controlled Sensing
Adarsh M. Subramaniam, Argyrios Gerogiannis, James Z. Hare +1
State of the art methods for target tracking with sensor management (or controlled sensing) are model-based and are obtained through solutions to Partially Observable Markov Decisi…
Adaptive Step-Size Methods for Compressed SGD
Adarsh M. Subramaniam, Akshayaa Magesh, Venugopal V. Veeravalli
Compressed Stochastic Gradient Descent (SGD) algorithms have been recently proposed to address the communication bottleneck in distributed and decentralized optimization problems,…
Random Khatri-Rao-Product Codes for Numerically-Stable Distributed Matrix Multiplication
Adarsh M. Subramaniam, Anoosheh Heidarzadeh, Krishna R. Narayanan
We propose a class of codes called random Khatri-Rao-Product (RKRP) codes for distributed matrix multiplication in the presence of stragglers. The main advantage of the proposed co…
Collaborative Decoding of Polynomial Codes for Distributed Computation
Adarsh M. Subramaniam, Anoosheh Heiderzadeh, Krishna R. Narayanan
We show that polynomial codes (and some related codes) used for distributed matrix multiplication are interleaved Reed-Solomon codes and, hence, can be collaboratively decoded. We…