Anand D. Sarwate
Associate 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
Twitter: @ergodicwalk
Office Hours (Fall 2020):
TBD
Associate 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
Twitter: @ergodicwalk
Office Hours (Fall 2020):
TBD
Recent news
 New Paper accepted: A. Rezaie, J. Gao, Anand Sarwate, Influencers and the Giant Component: the Fundamental Hardness in Privacy Protection for Socially Contagious Attributes, SIAM International Conference on Data Mining, 2021.
 New NIH award: COINSTAC 2.0: Decentralized, Scalable Analysis of Loosely Coupled Data. This is a subaward from an RO1 renewal from Georgia State University (P: Vince Calhoun).
 Decentralized multisite VBM analysis during adolescence shows structural changes linked to age, body mass index, and smoking: a COINSTAC analysis by Harshvardhan Gazula, Bharath Holla; Zuo Zhang; Jiayuan Xu; Eric Verner; Ross Kelly; Sanjeev Jain; Rose Dawn Bharath; Gareth Barker; Debasish Basu; Amit Chakrabarti; Karthik Kalyanram; Kalyanaraman Kumaran; Lenin Singh; Rebecca Kuriyan; Pratima Murthy; Vivek Benegal; Sergey Plis; Anand Sarwate; Jessica Turner; Gunter Schumann; Vince Calhoun has been accepted in Neuroinformatics.
 The COINSTAC collaborative research platform for neuroimaging has its own site now!
 I was awarded the Rutgers Board of Trustees Research Fellowship for Scholarly Excellence.
 I was promoted to Associate Professor with tenure effective July 1, 2020.

New journal papers:
D. M. Bittner and A. E. Brito and M. Ghassemi and S. Rane and A. D. Sarwate and R N. Wright, Understanding PrivacyUtility Tradeoffs Using Differentially Private Online Active Learning, Journal of Privacy and Confidentiality, in press.
M. Ghassemi, Z. Shakeri, A. D. Sarwate, W.U. Bajwa, Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms, IEEE Transactions on Signal Processing, 68(1): 3348, 2020.
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(10): 65396560, October 2019.

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.  Kamalika Chaudhuri posted our tutorial from NIPS 2017 on Differentially Private Machine Learning: Theory, Algorithms, and Applications.
Some recent publications
Learning and inference
 K.E. ~Nikolakakis, D.S. ~Kalogerias, A.D. ~Sarwate, Predictive Learning on Hidden TreeStructured Ising Models, Journal of Machine Learning Research 22(59): pp. 1–82, April 2021. [BibTeX entry]
 M. Ghassemi, Z. Shakeri, A.D. Sarwate, W.U. Bajwa, Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms, IEEE Transactions on Signal Processing 68(1): pp. 3348, January 2020. [BibTeX entry]
 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(10): pp. 6539–6560, October 2019. [BibTeX entry] [Local/OA version]
 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
 A. Rezaie, J. Gao, A. Sarwate, Influencers and the Giant Component: the Fundamental Hardness in Privacy Protection for Socially Contagious Attributes, SIAM International Conference on Data Mining, , April 2021. [BibTeX entry]
 D.S. Kalogerias, K.E. Nikolakakis, A.D. Sarwate, O. Sheffet, BestArm Identification for Quantile Bandits with Privacy, ArXiV report number arXiv:2006.06792 [stat.ML], June, 2020. [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 Through Shared Randomness, ArXiV report number arXiv:1908.08407 [cs.IT], August, 2019. [BibTeX entry]
 Y. Zhang, S. Vatedka, S. Jaggi, A. Sarwate, Quadratically constrained myopic adversarial channels, ArXiV report number arXiv:1801.05951v3 [cs.IT], January, 2020. [BibTeX entry]
 A.J. Budkuley, B.K. Dey, S. Jaggi, M. Langberg, A.D. Sarwate, C. Wang, Symmetrizability for Myopic AVCs, Proceedings of the 2020 IEEE International Symposium on Information Theory (ISIT), , 21–26 June 2020. [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!
[NIH] 2R01DA040487
COINSTAC 2.0: Decentralized, Scalable Analysis of Loosely Coupled Data
(PI: Vince Calhoun (GSU)  subaward to Rutgers: Anand D. Sarwate (PI))
COINSTAC 2.0: Decentralized, Scalable Analysis of Loosely Coupled Data
(PI: Vince Calhoun (GSU)  subaward to Rutgers: Anand D. Sarwate (PI))
[NSF] CCF1910110
CIF: Small: ESTRELLA: Exploiting Structure in Tensors for Representation, Estimation, and Limits of Learning Algorithms
(PI: Anand D. Sarwate, CoPI: Waheed U. Bajwa)
CIF: Small: ESTRELLA: Exploiting Structure in Tensors for Representation, Estimation, and Limits of Learning Algorithms
(PI: Anand D. Sarwate, CoPI: Waheed U. Bajwa)
[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)
[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))