5 papers
Adversarial Node Placement in Decentralized Federated Learning: Maximum Spanning-Centrality Strategy and Performance Analysis
Adam Piaseczny, Eric Ruzomberka, Rohit Parasnis +1
As Federated Learning (FL) becomes more widespread, there is growing interest in its decentralized variants. Decentralized FL leverages the benefits of fast and energy-efficient de…
A Comparative Analysis of Distributed Linear Solvers under Data Heterogeneity
Boris Velasevic, Rohit Parasnis, Christopher G. Brinton +1
We consider the problem of solving a large-scale system of linear equations in a distributed or federated manner by a taskmaster and a set of machines, each possessing a subset of…
Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees
Shahryar Zehtabi, Dong-Jun Han, Rohit Parasnis +2
Decentralized federated learning (DFL) captures FL settings where both (i) model updates and (ii) model aggregations are exclusively carried out by the clients without a central se…
Optimal Interventions in Coupled-Activity Network Games: Application to Sustainable Forestry
Rohit Parasnis, Saurabh Amin
We address the challenge of promoting sustainable practices in production forests managed by strategic entities (agents) that harvest agricultural commodities under concession agre…
A Perron-Frobenius Theorem for Strongly Aperiodic Stochastic Chains
Rohit Parasnis, Massimo Franceschetti, Behrouz Touri
We derive a generalization of the Perron-Frobenius theorem to time-varying row-stochastic matrices as follows: using Kolmogorov's concept of absolute probability sequences, which a…