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Sanjeev R. Kulkarni

Princeton University

Enabling Efficient Cyber Threat Hunting With Cyber Threat Intelligence

Oct 26, 2020
Peng Gao, Fei Shao, Xiaoyuan Liu, Xusheng Xiao, Zheng Qin, Fengyuan Xu, Prateek Mittal, Sanjeev R. Kulkarni, Dawn Song


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Blind Federated Edge Learning

Oct 19, 2020
Mohammad Mohammadi Amiri, Tolga M. Duman, Deniz Gunduz, Sanjeev R. Kulkarni, H. Vincent Poor

* submitted for publication. arXiv admin note: text overlap with arXiv:1907.03909 

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Convergence of Federated Learning over a Noisy Downlink

Aug 25, 2020
Mohammad Mohammadi Amiri, Deniz Gunduz, Sanjeev R. Kulkarni, H. Vincent Poor

* submitted for publication 

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Federated Learning With Quantized Global Model Updates

Jun 18, 2020
Mohammad Mohammadi Amiri, Deniz Gunduz, Sanjeev R. Kulkarni, H. Vincent Poor


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Update Aware Device Scheduling for Federated Learning at the Wireless Edge

Jan 28, 2020
Mohammad Mohammadi Amiri, Deniz Gunduz, Sanjeev R. Kulkarni, H. Vincent Poor


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TurkerGaze: Crowdsourcing Saliency with Webcam based Eye Tracking

May 20, 2015
Pingmei Xu, Krista A Ehinger, Yinda Zhang, Adam Finkelstein, Sanjeev R. Kulkarni, Jianxiong Xiao

* 9 pages, 14 figures 

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Machine Learning Methods for Attack Detection in the Smart Grid

Mar 22, 2015
Mete Ozay, Inaki Esnaola, Fatos T. Yarman Vural, Sanjeev R. Kulkarni, H. Vincent Poor

* A version of the manuscript was published in IEEE Transactions on Neural Networks and Learning Systems, 19 March 2015 
* 14 pages, 11 Figures 

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Fusion of Image Segmentation Algorithms using Consensus Clustering

Feb 18, 2015
Mete Ozay, Fatos T. Yarman Vural, Sanjeev R. Kulkarni, H. Vincent Poor

* 20th IEEE International Conference on Image Processing (ICIP), pp. 4049-4053, Melbourne, VIC, 15-18 Sept. 2013 
* A version of the manuscript was published in ICIP 2013 

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A Random Walk Based Model Incorporating Social Information for Recommendations

May 17, 2013
Shang Shang, Sanjeev R. Kulkarni, Paul W. Cuff, Pan Hui

* 2012 IEEE Machine Learning for Signal Processing Workshop (MLSP), 6 pages 

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Wisdom of the Crowd: Incorporating Social Influence in Recommendation Models

May 17, 2013
Shang Shang, Pan Hui, Sanjeev R. Kulkarni, Paul W. Cuff

* HotPost 2011, 6 pages 

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Scalable Algorithms for Aggregating Disparate Forecasts of Probability

May 01, 2006
Joel B. Predd, Sanjeev R. Kulkarni, Daniel N. Osherson, H. Vincent Poor

* To be presented at the Ninth International Conference on Information Fusion, Florence, Italy, July 10-13, 2006 

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Distributed Kernel Regression: An Algorithm for Training Collaboratively

Jan 20, 2006
Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor

* To be presented at the 2006 IEEE Information Theory Workshop, Punta del Este, Uruguay, March 13-17, 2006 

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Consistency in Models for Distributed Learning under Communication Constraints

Sep 30, 2005
Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor

* To appear in the IEEE Transactions on Information Theory 

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Distributed Regression in Sensor Networks: Training Distributively with Alternating Projections

Jul 18, 2005
Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor

* To appear in the Proceedings of the SPIE Conference on Advanced Signal Processing Algorithms, Architectures and Implementations XV, San Diego, CA, July 31 - August 4, 2005 

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Distributed Learning in Wireless Sensor Networks

Mar 26, 2005
Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor

* Published in the Proceedings of the 42nd Annual Allerton Conference on Communication, Control and Computing, University of Illinois, 2004 

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Bandit Problems with Side Observations

Jan 22, 2005
Chih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor

* 16 pages, 3 figures. To be published in the IEEE Transactions on Automatic Control 

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