Hegselmann-Krause Dynamics with Limited Connectivity. - Rohit Parasnis; Massimo Franceschetti; Behrouz Touri (CDC, 2018)

On Graphs with Bounded and Unbounded Convergence Times in Social Hegselmann-Krause Dynamics. - Rohit Parasnis; Massimo Franceschetti; Behrouz Touri (CDC, 2019)

Uniform Strong Connectivity is Not Necessary for Non-Bayesian Social Learning on Time-Varying Directed Graphs. - Rohit Parasnis; Massimo Franceschetti; Behrouz Touri (CDC, 2020)

A Case for the Age-Structured SIR Dynamics for Modelling COVID-19. - Rohit Parasnis; Amol Sakhale; Ryosuke Kato; Massimo Franceschetti; Behrouz Touri (CDC, 2021)

On the Convergence Properties of Social Hegselmann-Krause Dynamics. - Rohit Parasnis; Massimo Franceschetti; Behrouz Touri (IEEE Trans. Autom. Control., 2022)

Non-Bayesian Social Learning on Random Digraphs With Aperiodically Varying Network Connectivity. - Rohit Parasnis; Massimo Franceschetti; Behrouz Touri (IEEE Trans. Control. Netw. Syst., 2022)

On the Effects of Data Heterogeneity on the Convergence Rates of Distributed Linear System Solvers. - Boris Velasevic; Rohit Parasnis; Christopher G. Brinton; Navid Azizan (CDC, 2023)

Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks. - Rohit Parasnis; Seyyedali Hosseinalipour; Yun-Wei Chu; Mung Chiang; Christopher G. Brinton (MobiHoc, 2023)

A Random Adaptation Perspective on Distributed Averaging. - Rohit Parasnis; Ashwin Verma; Massimo Franceschetti; Behrouz Touri (IEEE Control. Syst. Lett., 2023)

Optimal Interventions in Coupled-Activity Network Games: Application to Sustainable Forestry. - Rohit Parasnis; Saurabh Amin (CDC, 2024)

The Impact of Adversarial Node Placement in Decentralized Federated Learning Networks. - Adam Piaseczny; Eric Ruzomberka; Rohit Parasnis; Christopher G. Brinton (ICC, 2024)

Decentralized Sporadic Federated Learning: A Unified Methodology with Generalized Convergence Guarantees. - Shahryar Zehtabi; Dong-Jun Han; Rohit Parasnis; Seyyedali Hosseinalipour; Christopher G. Brinton (CoRR, 2024)

Federated Learning with Dynamic Client Arrival and Departure: Convergence and Rapid Adaptation via Initial Model Construction. - Zhan-Lun Chang; Dong-Jun Han; Rohit Parasnis; Seyyedali Hosseinalipour; Christopher G. Brinton (CoRR, 2024)

Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees. - Shahryar Zehtabi; Dong-Jun Han; Rohit Parasnis; Seyyedali Hosseinalipour; Christopher G. Brinton (ICLR, 2025)

Adversarial Node Placement in Decentralized Federated Learning: Maximum Spanning-Centrality Strategy and Performance Analysis. - Adam Piaseczny; Eric Ruzomberka; Rohit Parasnis; Christopher G. Brinton (IEEE Internet Things J., 2025)

A Perron-Frobenius Theorem for Strongly Aperiodic Stochastic Chains. - Rohit Parasnis; Massimo Franceschetti; Behrouz Touri (IEEE Trans. Autom. Control., 2025)