8 citations · 11 across the 8 of their papers we have counts for
9 papers
Asynchronous Vector Consensus over Matrix-Weighted Networks
P Raghavendra Rao, Pooja Vyavahare
We study the distributed consensus of state vectors in a discrete-time multi-agent network with matrix edge weights using stochastic matrix convergence theory. We present a distrib…
Distributed Learning with Partial Information Sharing
P Raghavendra Rao, Pooja Vyavahare
This work studies the distributed learning process on a network of agents. Agents make partial observation about an unknown hypothesis and iteratively share their beliefs over a se…
Sponsored data with ISP competition
Pooja Vyavahare, D. Manjunath, Jayakrishnan Nair
We analyze the effect of sponsored data platforms when Internet service providers (ISPs) compete for subscribers and content providers (CPs) compete for a share of the bandwidth us…
Distributed Learning with Adversarial Agents Under Relaxed Network Condition
Pooja Vyavahare, Lili Su, Nitin H. Vaidya
This work studies the problem of non-Bayesian learning over multi-agent network when there are some adversarial (faulty) agents in the network. At each time step, each non-faulty a…
Random walk based in-network computation of arbitrary functions
Iqra Altaf Gillani, Pooja Vyavahare, Amitabha Bagchi
We study in-network computation on general network topologies. Specifically, we are given the description of a function, and a network with distinct nodes at which the operands of…
A Stochastic Process on a Network with Connections to Laplacian Systems of Equations
Iqra Altaf Gillani, Amitabha Bagchi, Pooja Vyavahare
We study an open discrete-time queueing network that models the collection of data in a multi-hop sensor network. We assume data is generated at the sensor nodes as a discrete-time…
On the Maximum Rate of Networked Computation in a Capacitated Network
Pooja Vyavahare, Nutan Limaye Ajit A. Diwan, D. Manjunath
Given a capacitated communication network and a function f that needs to be computed on we study the problem of generating a computation and communicat…
Optimal Embedding of Functions for In-Network Computation: Complexity Analysis and Algorithms
Pooja Vyavahare, Nutan Limaye, D. Manjunath
We consider optimal distributed computation of a given function of distributed data. The input (data) nodes and the sink node that receives the function form a connected network th…
In-Network Estimation of Frequency Moments
Pooja Vyavahare, Nutan Limaye, D. Manjunath
We consider the problem of estimating functions of distributed data using a distributed algorithm over a network. The extant literature on computing functions in distributed networ…