Anand D. Sarwate
Assistant Professor (from Jan. 2014)
Department of Electrical and Computer Engineering
Rutgers, The State University of New Jersey
Graduate Faculty, Dept. of Statistics
Associate Member, WINLAB
Affiliate Member, DIMACS
CoRE Building Rm. 517
Phone: +18484458516
Email: asarwate@ece.rutgers.edu
Assistant Professor (from Jan. 2014)
Department of Electrical and Computer Engineering
Rutgers, The State University of New Jersey
Graduate Faculty, Dept. of Statistics
Associate Member, WINLAB
Affiliate Member, DIMACS
CoRE Building Rm. 517
Phone: +18484458516
Email: asarwate@ece.rutgers.edu
Recent news

Two new papers for ICASSP 2017:
Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate, Sample Complexity Bounds for Dictionary Learning of Tensor Data, Proceedings of the 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017).
Nikolas Wojtalewicz, Rogers Silva, Vince Calhoun, Anand Sarwate, Sergey Plis, Decentralized Independent Vector Analysis, Proceedings of the 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017).  I will be teaching ECE 322: Principles of Communication Systems for Spring 2017.
 I've been elected to the IEEE Signal Processing Society's Machine Learning for Signal Processing Technical Committee.
 New grant from the NSF Secure and Trustworthy Cyberspace (SaTC) program: PERMIT: PrivacyEnabled Resource Management for IoT Networks. Looking forward to working on this project!
Some recent publications
Distributed learning and optimization
 A. Bijral, A.D. Sarwate, N. Srebro, On Data Dependence in Distributed Stochastic Optimization, ArXiV report number arXiv:1603.04379 [math.OC], September, 2016. [BibTeX entry]
 L. Xie, S.M. Plis, A. Sarwate, Data Weighted Ensemble Learning for PrivacyPreserving Distributed Learning, Proceedings of the 2006 International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 23092313, March 2016. [BibTeX entry]
 M. Ghassemi, A.D. Sarwate, Distributed Proportional Stochastic Coordinate Descent with Social Sampling, Proceedings of the 53rd Annual Allerton Conference on Communication, Control, and Computing, pp. 1724, October 2015. [BibTeX entry]
 A.D. Sarwate, T. Javidi, Distributed Learning of Distributions via Social Sampling, IEEE Transactions on Automatic Control 60(1): pp. 3445, January 2015. [BibTeX entry] [Local/OA version]
Privacy
 M. Ghassemi, A.D. Sarwate, R. Wright, Differentially Private Online Active Learning with Applications to Anomaly Detection, Proceedings of the 9th ACM Workshop on Artificial Intelligence and Security, pp. 117128, October 2016. [BibTeX entry]
 C. Huang, L. Sankar, A.D. Sarwate, Designing Incentive Schemes For PrivacySensitive Users, Journal of Privacy and Confidentiality 7(1): March 2016. [BibTeX entry]
 H. Imtiaz, A.D. Sarwate, Symmetric Matrix Perturbation for DifferentiallyPrivate Principal Component Analysis, Proceedings of the 2016 International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 23392343, March 2016. [BibTeX entry]
 A.D. Sarwate, S.M. Plis, J.A. Turner, M.R. Arbabshirani, V.D. Calhoun, Sharing privacysensitive access to neuroimaging and genetics data: a review and preliminary validation, Frontiers in Neuroinformatics 8(35): 2014. [BibTeX entry] [Local/OA version]
 K. Chaudhuri, A.D. Sarwate, K. Sinha, A NearOptimal Algorithm for DifferentiallyPrivate Principal Components, Journal of Machine Learning Research 14: pp. 29052943, September 2013. [BibTeX entry] [Local/OA version]
Machine learning
 T. Hazan, F. Orabona, A.D. Sarwate, S. Maji, T. Jaakkola, High Dimensional Inference with Random Maximum APosteriori Perturbations, ArXiV report number arXiv:1602.03571 [cs.LG], February, 2016. [BibTeX entry]
 S. Song, K. Chaudhuri, A.D. Sarwate, Learning from Data with Heterogeneous Noise using SGD, ArXiV report number arXiv:1412.5617 [cs.LG], December, 2014. [BibTeX entry]
 N.P. Santhanam, A.D. Sarwate, J.O. Woo, Redundancy of Exchangeable Estimators, Entropy 16(10): pp. 53395357, October 2014. [BibTeX entry] [Local/OA version]
 S. Sabato, A.D. Sarwate, N. Srebro, Auditing: Active Learning with OutcomeDependent Query Costs, ArXiV report number arXiv:1306.2347 [cs.LG], June, 2013. [BibTeX entry]
Information Theory
 Z. Shakeri, W.U. Bajwa, A.D. Sarwate, Minimax Lower Bounds for KroneckerStructured Dictionary Learning, Proceedings of the 2016 IEEE International Symposium on Information Theory, pp. 11481152, July 1015 2016. [BibTeX entry]
 A. Lalitha, T. Javidi, A. Sarwate, Social Learning and Distributed Hypothesis Testing, ArXiV report number arXiv:1410.4307v5 [math.ST], May, 2016. [BibTeX entry]
 B.K. Dey, S. Jaggi, M. Langberg, A.D. Sarwate, The benefit of a 1bit jumpstart, and the necessity of stochastic encoding, in jamming channels, ArXiV report number arXiv:1602.02384 [cs.IT], February, 2016. [BibTeX entry]
 A.D. Sarwate, A.G. Dimakis, The Impact of Mobility on Gossip Algorithms, IEEE Transactions on Information Theory 58(3): pp. 17311742, March 2012. [BibTeX entry] [Local/OA version]
 A.D. Sarwate, M. Gastpar, ListDecoding for the Arbitrarily Varying Channel Under State Constraints, IEEE Transactions on Information Theory 58(3): pp. 13721384, March 2012. [BibTeX entry] [Local/OA version]
Support
Some of my research is supported by grants
from generous agencies. Many thanks to them!
[NSF] SaTC1617849:
TWC: Small: PERMIT: PrivacyEnabled Resource Management for IoT Networks
(PI: Anand D. Sarwate, CoPI: Narayan B. Mandayam)
[Verisign] gift through DIMACS Center
to work on applied and theoretical privacy
(PIs: Rebecca Wright, Anand D. Sarwate)
[DHS] through CCICADA Center:
DPAD: Differentially Private Anomaly Detection
(PIs: Rebecca Wright, Anand D. Sarwate)
[DARPA] Brandeis,
subcontract with Galois, Inc.:
Jana: Ensuring Secure, Private and Flexible Data Access
(PI: David Archer (Galois)  subaward to Rutgers: Rebecca Wright (PI), CoPIs: Anand D. Sarwate, David Cash)
[NSF] CCF1525276:
CIF: Small: Active data screening for efficient feature learning
(PI: Waheed Bajwa, CoPI: Anand D. Sarwate)
[NIH] 1R01DA04048701A1:
COINSTAC: Decentralized, Scalable Analysis of Loosely Coupled Data
(PI: Vince Calhoun (MRN)  subaward to Rutgers: Anand D. Sarwate (PI))
[NSF] CCF1453432
CAREER: Privacypreserving learning for distributed data
(PI: Anand D. Sarwate)
[NSF] CCF1218331/CCF1440033:
CIF: Small: Collaborative Research: Inference by social sampling
(PI: Anand Sarwate)