| 2025 | AISTATS | High-probability Convergence Bounds for Online Nonlinear Stochastic Gradient Descent under Heavy-tailed Noise. | Aleksandar Armacki, Shuhua Yu, Pranay Sharma, Gauri Joshi, Dragana Bajovic, Dusan Jakovetic, Soummya Kar |
| 2025 | AISTATS | Federated Communication-Efficient Multi-Objective Optimization. | Baris Askin, Pranay Sharma, Gauri Joshi, Carlee Joe-Wong |
| 2025 | ICASSP | On Decentralized Learning with Stochastic Subspace Descent. | Shivangi Dubey Sharma, Pranay Sharma, Ketan Rajawat |
| 2025 | ICLR | Debiasing Federated Learning with Correlated Client Participation. | Zhenyu Sun, Ziyang Zhang, Zheng Xu, Gauri Joshi, Pranay Sharma, Ermin Wei |
| 2025 | IJCCI | A Surrogate-Assisted Co-Evolutionary Framework for Bilevel Optimization. | Sanup Araballi, Venkata Gandikota, Pranay Sharma, Prashant Khanduri, Chilukuri K. Mohan |
| 2024 | ICASSP | On Improved Distributed Random Reshuffling over Networks. | Pranay Sharma, Jiarui Li, Gauri Joshi |
| 2024 | UAI | FedAST: Federated Asynchronous Simultaneous Training. | Baris Askin, Pranay Sharma, Carlee Joe-Wong, Gauri Joshi |
| 2023 | ICLR | What Is Missing in IRM Training and Evaluation? Challenges and Solutions. | Yihua Zhang, Pranay Sharma, Parikshit Ram, Mingyi Hong, Kush R. Varshney, Sijia Liu |
| 2023 | ICML | On the Convergence of Federated Averaging with Cyclic Client Participation. | Yae Jee Cho, Pranay Sharma, Gauri Joshi, Zheng Xu, Satyen Kale, Tong Zhang |
| 2022 | ICML | Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling. | Sajad Khodadadian, Pranay Sharma, Gauri Joshi, Siva Theja Maguluri |
| 2022 | ICML | Federated Minimax Optimization: Improved Convergence Analyses and Algorithms. | Pranay Sharma, Rohan Panda, Gauri Joshi, Pramod K. Varshney |
| 2022 | UAI | Fedvarp: Tackling the variance due to partial client participation in federated learning. | Divyansh Jhunjhunwala, Pranay Sharma, Aushim Nagarkatti, Gauri Joshi |
| 2021 | ACSSC | On Distributed Online Convex Optimization with Sublinear Dynamic Regret and Fit. | Pranay Sharma, Prashant Khanduri, Lixin Shen, Donald J. Bucci, Pramod K. Varshney |
| 2020 | ICASSP | On Distributed Stochastic Gradient Descent for Nonconvex Functions in the Presence of Byzantines. | Saikiran Bulusu, Prashant Khanduri, Pranay Sharma, Pramod K. Varshney |
| 2019 | FUSION | On Decentralized Self-localization and Tracking Under Measurement Origin Uncertainty. | Pranay Sharma, Augustin-Alexandru Saucan, Donald J. Bucci, Pramod K. Varshney |
| 2018 | ACSSC | On Self-Localization and Tracking with an Unknown Number of Targets. | Pranay Sharma, Augustin-Alexandru Saucan, Donald J. Bucci, Pramod K. Varshney |
| 2013 | PERCOM | A lane-level dynamic traffic control system for driving efficiency optimization based on vehicular networks. | Lien-Wu Chen, Chia-Chen Chang, Pranay Sharma, Jen-Hsiang Cheng, Chien-Cheng Wu, Yu-Chee Tseng |
| 2011 | SIGCOMM | Eco-Sign: a load-based traffic light control system for environmental protection with vehicular communications. | Lien-Wu Chen, Pranay Sharma, Yu-Chee Tseng |