Anand D. Sarwate
Assistant Professor
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: +1-848-445-8516
Email: anand.sarwate@rutgers.edu

Office Hours (Fall 2017):
Monday 1-2 (CoRE 503)
Wednesday 5-6 (CoRE 503)
Recent news
  • New conference papers this semester!
    GlobalSIP 2017: Hafiz Imtiaz and Anand D. Sarwate, Differentially Private Canonical Correlation Analysis, November 2017.
    CAMSAP 2017: Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa, STARK: Structured Dictionary Learning Through Rank-one Tensor Recovery, December 2017.
    CAMSAP 2017: Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa, Identification of Kronecker-structured Dictionaries: An Asymptotic Analysis, .
  • New journal paper in print:
    A. Bijral, A.D. Sarwate, N. Srebro, Data Dependent Convergence For Consensus Stochastic Optimization, IEEE Transactions on Automatic Control 62 (9): pp. 4483-4498, September 2017.
  • I'm teaching ECE 345 (Linear Systems and Signals) for Fall 2017. I always say Signals and Systems so I'm constantly switching them. Apparently Rutgers Students bypass this issue by calling the class LSS.
  • Paper accepted to the IT Transactions: A. Lalitha, T. Javidi, A. Sarwate, Social Learning and Distributed Hypothesis Testing, preprint on ArXiV.
  • I've officially been reappointed as an Assistant Professor in the ECE Department. Guess they haven't gotten rid of me yet!
  • New ArXiV paper (to appear in IEEE Cluster 2017):

    Bangtian Liu, Chengyao Wen, Anand D. Sarwate, Maryam Mehri Dehnavi, A Unified Optimization Approach for Sparse Tensor Operations on GPUs, arXiv:1705.09905 [cs.MS], May 2017.
Some recent publications
Distributed learning and optimization
  1. A. Lalitha, T. Javidi, A. Sarwate, Social Learning and Distributed Hypothesis Testing, IEEE Transactions on Information Theory 64: to appear 2017. [BibTeX entry]
  2. A. Bijral, A.D. Sarwate, N. Srebro, Data Dependent Convergence For Consensus Stochastic Optimization, IEEE Transactions on Automatic Control 62(9): pp. 4483--4498, September 2017. [BibTeX entry]
  3. 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. 17--24, October 2015. [BibTeX entry]
  4. A.D. Sarwate, T. Javidi, Distributed Learning of Distributions via Social Sampling, IEEE Transactions on Automatic Control 60(1): pp. 34--45, January 2015. [BibTeX entry] [Local/OA version]
Privacy
  1. H. Imtiaz, A.D. Sarwate, Differentially Private Canonical Correlation Analysis, Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, pp. to appear, November 2017. [BibTeX entry]
  2. 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. 117--128, October 2016. [BibTeX entry]
  3. C. Huang, L. Sankar, A.D. Sarwate, Designing Incentive Schemes For Privacy-Sensitive Users, Journal of Privacy and Confidentiality 7(1): pp. 99--127, March 2016. [BibTeX entry]
  4. A.D. Sarwate, S.M. Plis, J.A. Turner, M.R. Arbabshirani, V.D. Calhoun, Sharing privacy-sensitive access to neuroimaging and genetics data: a review and preliminary validation, Frontiers in Neuroinformatics 8(35): 2014. [BibTeX entry] [Local/OA version]
  5. K. Chaudhuri, A.D. Sarwate, K. Sinha, A Near-Optimal Algorithm for Differentially-Private Principal Components, Journal of Machine Learning Research 14: pp. 2905--2943, September 2013. [BibTeX entry] [Local/OA version]
Machine learning
  1. T. Hazan, F. Orabona, A.D. Sarwate, S. Maji, T. Jaakkola, High Dimensional Inference with Random Maximum A-Posteriori Perturbations, ArXiV report number arXiv:1602.03571 [cs.LG], February, 2016. [BibTeX entry]
  2. 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]
  3. N.P. Santhanam, A.D. Sarwate, J.O. Woo, Redundancy of Exchangeable Estimators, Entropy 16(10): pp. 5339--5357, October 2014. [BibTeX entry] [Local/OA version]
  4. S. Sabato, A.D. Sarwate, N. Srebro, Auditing: Active Learning with Outcome-Dependent Query Costs, ArXiV report number arXiv:1306.2347 [cs.LG], June, 2013. [BibTeX entry]
Information Theory
  1. Z. Shakeri, W.U. Bajwa, A.D. Sarwate, Minimax Lower Bounds for Kronecker-Structured Dictionary Learning, Proceedings of the 2016 IEEE International Symposium on Information Theory, pp. 1148--1152, July 10--15 2016. [BibTeX entry]
  2. B.K. Dey, S. Jaggi, M. Langberg, A.D. Sarwate, The benefit of a 1-bit jump-start, and the necessity of stochastic encoding, in jamming channels, ArXiV report number arXiv:1602.02384 [cs.IT], February, 2016. [BibTeX entry]
  3. A.D. Sarwate, A.G. Dimakis, The Impact of Mobility on Gossip Algorithms, IEEE Transactions on Information Theory 58(3): pp. 1731--1742, March 2012. [BibTeX entry] [Local/OA version]
  4. A.D. Sarwate, M. Gastpar, List-Decoding for the Arbitrarily Varying Channel Under State Constraints, IEEE Transactions on Information Theory 58(3): pp. 1372--1384, March 2012. [BibTeX entry] [Local/OA version]
Support
Some of my research is supported by grants from generous agencies. Many thanks to them!
[NSF] SaTC-1617849: TWC: Small: PERMIT: Privacy-Enabled Resource Management for IoT Networks (PI: Anand D. Sarwate, Co-PI: 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), Co-PIs: Anand D. Sarwate, David Cash)
[NSF] CCF-1525276: CIF: Small: Active data screening for efficient feature learning (PI: Waheed Bajwa, Co-PI: Anand D. Sarwate)
[NIH] 1R01DA040487-01A1: COINSTAC: Decentralized, Scalable Analysis of Loosely Coupled Data (PI: Vince Calhoun (MRN) -- subaward to Rutgers: Anand D. Sarwate (PI))
[NSF] CCF-1453432 CAREER: Privacy-preserving learning for distributed data (PI: Anand D. Sarwate)
[NSF] CCF-1218331/CCF-1440033: CIF: Small: Collaborative Research: Inference by social sampling (PI: Anand Sarwate)