Anand D. Sarwate
A. Walter Tyson Assistant Professor
Department of Electrical and Computer Engineering
Rutgers, The State University of New Jersey
Associate Member, Dept. of Statistics
Associate Member, Dept. of Computer Science
Associate Member, WINLAB
Affiliate Member, DIMACS
CoRE Building Rm. 517
Phone: +18484458516
Email: anand.sarwate@rutgers.edu
Office Hours (Fall 2017):
Monday 1011 (CoRE 503)
Wednesday 1112 (CoRE 503)
A. Walter Tyson Assistant Professor
Department of Electrical and Computer Engineering
Rutgers, The State University of New Jersey
Associate Member, Dept. of Statistics
Associate Member, Dept. of Computer Science
Associate Member, WINLAB
Affiliate Member, DIMACS
CoRE Building Rm. 517
Phone: +18484458516
Email: anand.sarwate@rutgers.edu
Office Hours (Fall 2017):
Monday 1011 (CoRE 503)
Wednesday 1112 (CoRE 503)
Recent news

I am the PI on two new NSF Awards:
with Michael Langberg: CIF: Small: Collaborative Research: Between Shannon and Hamming.
with Waheed Bajwa: CIF: Small: ESTRELLA: Exploiting Structure in Tensors for Representation, Estimation, and Limits of Learning Algorithms. 
Upcoming Conference papers:
M. Ghassemi, Z. Shakeri, A.D. Sarwate, W.U. Bajwa, "Sample Complexity Bounds for LowSeparationRank Dictionary Learning", ISIT 2019.
B. K. Dey, S. Jaggi, M. Langberg, A.D. Sarwate, C. Wang, "The Interplay of Causality and Myopia in Adversarial Channel Models", ISIT 2019. 
New preprints:
H. Imtiaz, J. Mohammadi, A.D. Sarwate, Distributed Differentially Private Computation of Functions with Correlated Noise, ArXiV report number arXiv:1904.10059 [cs.LG], April, 2019.
M. Ghassemi, Z. Shakeri, A.D. Sarwate, W.U. Bajwa, Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms, arXiv:1903.09284 [cs.LG] March 2019.
K. Nikolakakis, D. Kalogerias, A.D. Sarwate, Predictive Learning on SignValued Hidden Markov Trees, arXiv:1812.04700 [stat.ML], December 2018.  I am on a pretenure sabbatical at the Simons Institute for the Theory of Computing for the program on Data Privacy: Foundations and Applications during Spring 2019.

Recent papers accepted/in press:
K. Nikolakakis, D. Kalogerias, A.D. Sarwate, Learning Tree Structures from Noisy Data, AISTATS 2019, to appear April 2019.
Baker et al., Decentralized Temporal Independent Component Analysis: Leveraging fMRI Data in Collaborative Settings, NeuroImage, February 2019.
H. Imtiaz, A.D. Sarwate, Distributed DifferentiallyPrivate Algorithms for Matrix and Tensor Factorization, IEEE Journal of Selected Topics in Signal Processing (JSTSP) December 2018.
K. Kalantari, L. Sankar, A.D. Sarwate, Robust PrivacyUtility Tradeoffs under Differential Privacy and Hamming Distortion, IEEE Transactions on Information Forensics and Security, November 2018.
Z. Shakeri, A.D. Sarwate, W.U. Bajwa, Identifiability of KroneckerStructured Dictionaries for Tensor Data, IEEE Journal of Selected Topics in Signal Processing (JSTSP) October 2018.  I have been named the A. Walter Tyson Assistant Professor for 2018.
 Kamalika Chaudhuri posted our tutorial from NIPS 2017 on Differentially Private Machine Learning: Theory, Algorithms, and Applications.
Some recent publications
Learning and inference
 T. Hazan, F. Orabona, A.D. Sarwate, S. Maji, T. Jaakkola, High Dimensional Inference with Random Maximum APosteriori Perturbations, IEEE Transactions on Information Theory 65: to appear 2019. [BibTeX entry] [Local/OA version]
 K. Nikolakakis, D. Kalogerias, A.D. Sarwate, Learning Tree Structures from Noisy Data, in Proceedings of the TwentySecond International Conference on Artificial Intelligence and Statistics (AISTATS), Ed. K. Chaudhuri, R. Salakhutdinov Vol. 89, pp. 1771–1782, 16–18 April 2019. [BibTeX entry] [Local/OA version]
 M. Ghassemi, Z. Shakeri, A.D. Sarwate, W.U. Bajwa, Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms, ArXiV report number arXiv:1903.09284 [cs.LG], March, 2019. [BibTeX entry]
 Z. Shakeri, A.D. Sarwate, W.U. Bajwa, Identifiability of KroneckerStructured Dictionaries for Tensor Data, IEEE Journal of Selected Topics in Signal Processing 12(5): pp. 1047–1062, October 2018. [BibTeX entry] [Local/OA version]
 A. Lalitha, T. Javidi, A.D. Sarwate, Social Learning and Distributed Hypothesis Testing, IEEE Transactions on Information Theory 64(9): pp. 6161–6179, September 2018. [BibTeX entry] [Local/OA version]
 Z. Shakeri, W.U. Bajwa, A.D. Sarwate, Minimax Lower Bounds on Dictionary Learning for Tensor Data, IEEE Transactions on Information Theory 64(4): pp. 2706–2726, April 2018. [BibTeX entry] [Local/OA version]
Privacy
 H. Imtiaz, J. Mohammadi, A.D. Sarwate, Distributed Differentially Private Computation of Functions with Correlated Noise, ArXiV report number arXiv:1904.10059 [cs.LG], April, 2019. [BibTeX entry]
 H. Imtiaz, A.D. Sarwate, Distributed DifferentiallyPrivate Algorithms for Matrix and Tensor Factorization, IEEE Journal of Selected Topics in Signal Processing 12(6): pp. 1449–1464, December 2018. [BibTeX entry] [Local/OA version]
 K. Kalantari, L. Sankar, A.D. Sarwate, Robust PrivacyUtility Tradeoffs under Differential Privacy and Hamming Distortion, IEEE Transactions on Information Forensics and Security 13(11): pp. 2816–2830, November 2018. [BibTeX entry] [Local/OA version]
 D. Bittner, A.D. Sarwate, R. Wright, Using Noisy Binary Search for Differentially Private Anomaly Detection, in Proceedings of the 2nd International Symposium on Cyber Security Cryptography and Machine Learning (CSCML), Ed. I. Dinur, S. Dolev, S. Lodha Vol. 10879, pp. 20–37, June 2018. [BibTeX entry]
 S. Xiong, A.D. Sarwate, N.B. Mandayam, Defending Against PacketSize SideChannel Attacks in IoT Networks, Proceedings of the 43rd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, AB, Canada, pp. 2027–2031, 15–20 April 2018. [BibTeX entry]
Information Theory
 G.R. Kurri, V.M. Prabhakaran, A.D. Sarwate, Coordination Using Individually Shared Randomness, Proceedings of the 2018 IEEE International Symposium on Information Theory (ISIT), Vail, Colorado, USA, pp. 2550–2554, 17–22 June 2018. [BibTeX entry]
 T. Li, B.K. Dey, S. Jaggi, M. Langberg, A.D. Sarwate, Quadratically Constrained Channels with Causal Adversaries, Proceedings of the 2018 IEEE International Symposium on Information Theory (ISIT), Vail, Colorado, USA, pp. 621–625, 17–22 June 2018. [BibTeX entry]
 Y. Zhang, S. Vatedka, S. Jaggi, A.D. Sarwate, Quadratically Constrained Myopic Adversarial Channels, Proceedings of the 2018 IEEE International Symposium on Information Theory (ISIT), Vail, Colorado, USA, pp. 611–615, 17–22 June 2018. [BibTeX entry]
Support
Some of my research is (and has been) generously supported
by federal agencies and corporations. Many thanks to them!
[NSF] CCF1909468
CIF: Small: Collaborative Research: Between Shannon and Hamming
(PI: Anand D. Sarwate, CoPI: Michael Langberg)
CIF: Small: Collaborative Research: Between Shannon and Hamming
(PI: Anand D. Sarwate, CoPI: Michael Langberg)
[NSF] SaTC1617849
TWC: Small: PERMIT: PrivacyEnabled Resource Management for IoT Networks
(PI: Anand D. Sarwate, CoPI: Narayan B. Mandayam)
TWC: Small: PERMIT: PrivacyEnabled Resource Management for IoT Networks
(PI: Anand D. Sarwate, CoPI: Narayan B. Mandayam)
[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)
Jana: Ensuring Secure, Private and Flexible Data Access
(PI: David Archer (Galois)  subaward to Rutgers: Rebecca Wright (PI), CoPIs: Anand D. Sarwate, David Cash)
[NIH] 1R01DA04048701A1
COINSTAC: Decentralized, Scalable Analysis of Loosely Coupled Data
(PI: Vince Calhoun (MRN)  subaward to Rutgers: Anand D. Sarwate (PI))
COINSTAC: Decentralized, Scalable Analysis of Loosely Coupled Data
(PI: Vince Calhoun (MRN)  subaward to Rutgers: Anand D. Sarwate (PI))