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20192023
most citedCommunication Optimization in Large Scale Federated Learning using Autoencoder Compressed Weight Updates

3 citations · 9 across the 12 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

math.GM2021

A Game of Primes

Raghavendra Bhat

The basis for most of the ideas mentioned in this paper is the theory of cellular automata. A cellular automata contains a regular grid of cells, with each cell having a pre-define…

math.GM2021

An Abelian Loop for Non-Composites

Raghavendra N. Bhat

We define an abelian loop on a set consisting of 1 and all odd prime numbers with an operation , where for , is the smallest element…

math.NT2021★ 3 cited

Distribution of Square Prime Numbers

Raghavendra N. Bhat

For and prime, we define numbers of the form to be Square-Prime (SP) Numbers. For example, 75 = 3 25; 108 = 3 36; 45 = 5 9. These numb…

cs.LG2021★ 3 cited

Communication Optimization in Large Scale Federated Learning using Autoencoder Compressed Weight Updates

Srikanth Chandar, Pravin Chandran, Raghavendra Bhat +1

Federated Learning (FL) solves many of this decade's concerns regarding data privacy and computation challenges. FL ensures no data leaves its source as the model is trained at whe…

cs.RO2021★ 1 cited

Distributed Planning for Serving Cooperative Tasks with Time Windows: A Game Theoretic Approach

Yasin Yazicioglu, Raghavendra Bhat, Derya Aksaray

We study distributed planning for multi-robot systems to provide optimal service to cooperative tasks that are distributed over space and time. Each task requires service by suffic…

cs.LG2021

Weight Divergence Driven Divide-and-Conquer Approach for Optimal Federated Learning from non-IID Data

Pravin Chandran, Raghavendra Bhat, Avinash Chakravarthi +1

Federated Learning allows training of data stored in distributed devices without the need for centralizing training data, thereby maintaining data privacy. Addressing the ability t…