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eess.SY2024
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…
eess.SY2024
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…