Rohit Parasnis

According to our database, Rohit Parasnis authored at least 16 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Perron-Frobenius Theorem for Strongly Aperiodic Stochastic Chains.

Rohit Parasnis, Massimo Franceschetti, Behrouz Touri

IEEE Trans. Autom. Control., July, 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

Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees.

Shahryar Zehtabi, Dong-Jun Han, Rohit Parasnis, Seyyedali Hosseinalipour, Christopher G. Brinton

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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 Methodology with Generalized Convergence Guarantees.

Shahryar Zehtabi, Dong-Jun Han, Rohit Parasnis, Seyyedali Hosseinalipour, Christopher G. Brinton

CoRR, 2024

The Impact of Adversarial Node Placement in Decentralized Federated Learning Networks.

Adam Piaseczny, Eric Ruzomberka, Rohit Parasnis, Christopher G. Brinton

Proceedings of the IEEE International Conference on Communications, 2024

Optimal Interventions in Coupled-Activity Network Games: Application to Sustainable Forestry.

Rohit Parasnis, Saurabh Amin

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023

A Random Adaptation Perspective on Distributed Averaging.

Rohit Parasnis, Ashwin Verma, Massimo Franceschetti, Behrouz Touri

IEEE Control. Syst. Lett., 2023

Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks.

Rohit Parasnis, Seyyedali Hosseinalipour, Yun-Wei Chu, Mung Chiang, Christopher G. Brinton

Proceedings of the Twenty-fourth International Symposium on Theory, 2023

On the Effects of Data Heterogeneity on the Convergence Rates of Distributed Linear System Solvers.

Boris Velasevic, Rohit Parasnis, Christopher G. Brinton, Navid Azizan

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

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 Convergence Properties of Social Hegselmann-Krause Dynamics.

Rohit Parasnis, Massimo Franceschetti, Behrouz Touri

IEEE Trans. Autom. Control., 2022

2021

A Case for the Age-Structured SIR Dynamics for Modelling COVID-19.

Rohit Parasnis, Amol Sakhale, Ryosuke Kato, Massimo Franceschetti, Behrouz Touri

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Uniform Strong Connectivity is Not Necessary for Non-Bayesian Social Learning on Time-Varying Directed Graphs.

Rohit Parasnis, Massimo Franceschetti, Behrouz Touri

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

On Graphs with Bounded and Unbounded Convergence Times in Social Hegselmann-Krause Dynamics.

Rohit Parasnis, Massimo Franceschetti, Behrouz Touri

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

Hegselmann-Krause Dynamics with Limited Connectivity.

Rohit Parasnis, Massimo Franceschetti, Behrouz Touri

Proceedings of the 57th IEEE Conference on Decision and Control, 2018