8 citations · 11 across the 8 of their papers we have counts for
4 papers · 1 filter
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…
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…