Sanjeev Kulkarni
Princeton University
H-index: 55
North America-United States
Top articles of Sanjeev Kulkarni
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Exact recovery in Gaussian weighted stochastic block model and planted dense subgraphs: Statistical and algorithmic thresholds | arXiv preprint arXiv:2402.12515 | Aaradhya Pandey Sanjeev Kulkarni | 2024/2/19 |
A general theory for robust clustering via trimmed mean | arXiv preprint arXiv:2401.05574 | Soham Jana Jianqing Fan Sanjeev Kulkarni | 2024/1/10 |
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling | Arman Adibi Nicolò Dal Fabbro Luca Schenato Sanjeev Kulkarni H Vincent Poor | 2024/4/18 | |
DASA: Delay-Adaptive Multi-Agent Stochastic Approximation | arXiv preprint arXiv:2403.17247 | Arman Adibi* Nicolo Dal Fabbro* Harold Vincent Poor Sanjeev R Kulkarni Aritra Mitra | 2024/3/25 |
Greedy centroid initialization for federated K-means | Knowledge and Information Systems | Kun Yang Mohammad Mohammadi Amiri Sanjeev R Kulkarni | 2024/2/24 |
MCSC-Net: COVID-19 detection using deep-Q-neural network classification with RFNN-based hybrid whale optimization | Journal of X-Ray Science and Technology | Gerard Deepak M Madiajagan Sanjeev Kulkarni Ahmed Najat Ahmed Anandbabu Gopatoti | 2023/1/1 |
ZeroSwap: Data-driven Optimal Market Making in DeFi | arXiv preprint arXiv:2310.09413 | Viraj Nadkarni Jiachen Hu Ranvir Rana Chi Jin Sanjeev Kulkarni | 2023/10/13 |
Adversarially robust clustering with optimality guarantees | arXiv preprint arXiv:2306.09977 | Soham Jana Kun Yang Sanjeev Kulkarni | 2023/6/16 |
Byzantine-Robust Clustered Federated Learning | arXiv preprint arXiv:2306.00638 | Zhixu Tao Kun Yang Sanjeev R Kulkarni | 2023/6/1 |
Reinforcement learning paycheck optimization for multivariate financial goals | Risk and Decision Analysis | Melda Alaluf Giulia Crippa Sinong Geng Zijian Jing Nikhil Krishnan | 2022/11/26 |
Systems and methods for providing gift certificates of stock | 2022/7/7 | ||
Enabling efficient cyber threat hunting with cyber threat intelligence | Peng Gao Fei Shao Xiaoyuan Liu Xusheng Xiao Zheng Qin | 2021/4/19 | |
Blind federated edge learning | IEEE Transactions on Wireless Communications | Mohammad Mohammadi Amiri Tolga M Duman Deniz Gündüz Sanjeev R Kulkarni H Vincent Poor | 2021/3/19 |
Convergence of update aware device scheduling for federated learning at the wireless edge | IEEE Transactions on Wireless Communications | Mohammad Mohammadi Amiri Deniz Gündüz Sanjeev R Kulkarni H Vincent Poor | 2021/1/27 |
Federated learning with downlink device selection | Mohammad Mohammadi Amiri Sanjeev R Kulkarni H Vincent Poor | 2021/9/27 | |
Collaborative machine learning at the wireless edge with blind transmitters | IEEE Transactions on Wireless Communications | Mohammad Mohammadi Amiria Tolga M Dumanb Deniz Gündüzc Sanjeev R Kulkarni H Vincent Poor | 2021/3/19 |
Convergence of federated learning over a noisy downlink | IEEE Transactions on Wireless Communications | Mohammad Mohammadi Amiri Deniz Gündüz Sanjeev R Kulkarni H Vincent Poor | 2021/8/17 |
A system for efficiently hunting for cyber threats in computer systems using threat intelligence | Peng Gao Fei Shao Xiaoyuan Liu Xusheng Xiao Haoyuan Liu | 2021/4/19 | |
Update aware device scheduling for federated learning at the wireless edge | Mohammad Mohammadi Amiri Deniz Gündüz Sanjeev R Kulkarni H Vincent Poor | 2020/6/21 | |
Federated learning with quantized global model updates | arXiv preprint arXiv:2006.10672 | Mohammad Mohammadi Amiri Deniz Gunduz Sanjeev R Kulkarni H Vincent Poor | 2020/6/18 |
Co-Authors
