| Hegselmann-krause dynamics with limited connectivity R Parasnis, M Franceschetti, B Touri 2018 IEEE Conference on Decision and Control (CDC), 5364-5369, 2018 | 25 | 2018 |
| On the convergence properties of social Hegselmann–Krause dynamics RY Parasnis, M Franceschetti, B Touri IEEE Transactions on Automatic Control 67 (2), 589-604, 2021 | 15 | 2021 |
| Non-Bayesian social learning on random digraphs with aperiodically varying network connectivity R Parasnis, M Franceschetti, B Touri IEEE Transactions on Control of Network Systems 9 (3), 1202-1214, 2022 | 11 | 2022 |
| Multiscale entropy and poincare plot-based analysis of pulse rate variability and heart rate variability of ICU patients R Parasnis, A Pawar, M Manivannan 2015 International Conference on Intelligent Informatics and Biomedical …, 2015 | 10 | 2015 |
| Connectivity-aware semi-decentralized federated learning over time-varying D2D networks R Parasnis, S Hosseinalipour, YW Chu, M Chiang, CG Brinton Proceedings of the Twenty-fourth International Symposium on Theory …, 2023 | 8 | 2023 |
| On graphs with bounded and unbounded convergence times in social Hegselmann-Krause dynamics R Parasnis, M Franceschetti, B Touri 2019 IEEE 58th Conference on Decision and Control (CDC), 6431-6436, 2019 | 7 | 2019 |
| Uniform strong connectivity is not necessary for non-Bayesian social learning on time-varying directed graphs R Parasnis, M Franceschetti, B Touri 2020 59th IEEE Conference on Decision and Control (CDC), 4933-4940, 2020 | 5 | 2020 |
| A Case for the Age-Structured SIR Dynamics for Modelling COVID-19 R Parasnis, A Sakhale, R Kato, M Franceschetti, B Touri 2021 60th IEEE Conference on Decision and Control (CDC), 5508-5513, 2021 | 3 | 2021 |
| Towards a Perron-Frobenius Theorem for Strongly Aperiodic Stochastic Chains R Parasnis, M Franceschetti, B Touri arXiv preprint arXiv:2204.00573, 2022 | 2 | 2022 |
| Usefulness of the Age-Structured SIR Dynamics in Modelling COVID-19 R Parasnis, R Kato, A Sakhale, M Franceschetti, B Touri arXiv preprint arXiv:2203.05111, 2022 | 2 | 2022 |
| Energy-Efficient Connectivity-Aware Learning Over Time-Varying D2D Networks R Parasnis, S Hosseinalipour, YW Chu, M Chiang, CG Brinton IEEE Journal of Selected Topics in Signal Processing, 2024 | 1 | 2024 |
| A random adaptation perspective on distributed averaging R Parasnis, A Verma, M Franceschetti, B Touri IEEE Control Systems Letters 7, 241-246, 2022 | 1 | 2022 |
| Optimal Interventions in Coupled-Activity Network Games: Application to Sustainable Forestry R Parasnis, S Amin arXiv preprint arXiv:2404.13662, 2024 | | 2024 |
| Decentralized Sporadic Federated Learning: A Unified Methodology with Generalized Convergence Guarantees S Zehtabi, DJ Han, R Parasnis, S Hosseinalipour, CG Brinton arXiv preprint arXiv:2402.03448, 2024 | | 2024 |
| On the effects of data heterogeneity on the convergence rates of distributed linear system solvers B Velasevic, R Parasnis, CG Brinton, N Azizan 2023 62nd IEEE Conference on Decision and Control (CDC), 8394-8399, 2023 | | 2023 |
| The Impact of Adversarial Node Placement in Decentralized Federated Learning Networks A Piaseczny, E Ruzomberka, R Parasnis, CG Brinton arXiv preprint arXiv:2311.07946, 2023 | | 2023 |
| Sporadicity in Decentralized Federated Learning: Theory and Algorithm S Zehtabi, R Parasnis, S Hosseinalipour, C Brinton | | 2023 |
| Mathematical Tools and Convergence Results for Dynamics over Networks RY Parasnis University of California, San Diego, 2022 | | 2022 |
Massimo FranceschettiProfessor of Electrical and Computer Engineering在 ece.ucsd.edu 的电子邮件经过验证
