Anand D. Sarwate

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 101

Top Venues

CoRR

ISIT

ICASSP

IEEE Trans. Inf. Theory

Publications

Kelly Rootes-Murdy, Sandeep R. Panta, Ross Kelly, Javier Tomas Romero, Yann Quidé, Murray J. Cairns, C. M. Loughland, Vaughan J. Carr, Stanley V. Catts, Assen Jablensky, Melissa J. Green, Frans Henskens, Dylan Kiltschewskij, Patricia T. Michie, Bryan J. Mowry, Christos Pantelis, Paul E. Rasser, William R. Reay, Ulrich Schall, Rodney J. Scott, Oliver J. Watkeys, Gloria M. P. Roberts, Philip B. Mitchell, Janice M. Fullerton, Bronwyn J. Overs, Masataka Kikuchi, Ryota Hashimoto, Junya Matsumoto, Masaki Fukunaga, Perminder S. Sachdev, Henry Brodaty, Wei Wen, Jiyang Jiang, Negar Fani, Timothy D. Ely, Adriana Lorio, Jennifer S. Stevens, Kerry J. Ressler, Tanja Jovanovic, Sanne J. H. van Rooij, Lydia M. Federmann, Christiane Jockwitz, Alexander Teumer, Andreas J. Forstner, Svenja Caspers, Sven Cichon, Sergey M. Plis, Anand D. Sarwate, Vince D. Calhoun
Cortical similarities in psychiatric and mood disorders identified in federated VBM analysis via COINSTAC. Patterns 5 (7) (2024)
Andrew Engel, Zhichao Wang, Natalie Frank, Ioana Dumitriu, Sutanay Choudhury, Anand D. Sarwate, Tony Chiang
Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models. ICLR (2024)
Nitya Sathyavageeswaran, Roy D. Yates, Anand D. Sarwate, Narayan B. Mandayam
Timely Offloading in Mobile Edge Cloud Systems. CoRR (2024)
Sinjini Banerjee, Tim Marrinan, Reilly Cannon, Tony Chiang, Anand D. Sarwate
Measuring model variability using robust non-parametric testing. CoRR (2024)
Jose Hoyos Sanchez, Batoul Taki, Waheed U. Bajwa, Anand D. Sarwate
Federated Learning of Tensor Generalized Linear Models with low Separation Rank. ICASSP (2024)
Batoul Taki, Anand D. Sarwate, Waheed U. Bajwa
Low Separation Rank in Tensor Generalized Linear Models: An Asymptotic Analysis. CISS (2024)
Dylan Martin, Sunitha Basodi, Sandeep R. Panta, Kelly Rootes-Murdy, Paul Prae, Anand D. Sarwate, Ross Kelly, Javier Romero, Bradley T. Baker, Harshvardhan Gazula, Henry Jeremy Bockholt, Jessica A. Turner, Nathalia Bianchini Esper, Alexandre R. Franco, Sergey M. Plis, Vince D. Calhoun
Enhancing collaborative neuroimaging research: introducing COINSTAC Vaults for federated analysis and reproducibility. Frontiers Neuroinformatics 17 (2023)
Naima Tasnim, Jafar Mohammadi, Anand D. Sarwate, Hafiz Imtiaz
Approximating Functions with Approximate Privacy for Applications in Signal Estimation and Learning. Entropy 25 (5) (2023)
Sinjini Banerjee, Reilly Cannon, Tim Marrinan, Tony Chiang, Anand D. Sarwate
Robust Nonparametric Hypothesis Testing to Understand Variability in Training Neural Networks. CoRR (2023)
Sijie Li, Prasad Krishnan, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate
Computationally Efficient Codes for Adversarial Binary-Erasure Channels. ISIT (2023)
Eric Silk, Swarnita Chakraborty, Nairanjana Dasgupta, Anand D. Sarwate, Andrew Lumsdaine, Tony Chiang
Minibatching Offers Improved Generalization Performance for Second Order Optimizers. CoRR (2023)
Batoul Taki, Anand D. Sarwate, Waheed U. Bajwa
Structured Low-Rank Tensors for Generalized Linear Models. Trans. Mach. Learn. Res. 2023 (2023)
Andrew Engel, Zhichao Wang, Natalie S. Frank, Ioana Dumitriu, Sutanay Choudhury, Anand D. Sarwate, Tony Chiang
Robust Explanations for Deep Neural Networks via Pseudo Neural Tangent Kernel Surrogate Models. CoRR (2023)
Harshvardhan Gazula, Kelly Rootes-Murdy, Bharath Holla, Sunitha Basodi, Zuo Zhang, Eric Verner, Ross Kelly, Pratima Murthy, Amit Chakrabarti, Debasish Basu, Subodh Bhagyalakshmi Nanjayya, Rajkumar Lenin Singh, Roshan Lourembam Singh, Kartik Kalyanram, Kamakshi Kartik, Kalyanaraman Kumaran, Krishnaveni Ghattu, Rebecca Kuriyan, Sunita Simon Kurpad, Gareth J. Barker, Rose Dawn Bharath, Sylvane Desrivieres, Meera Purushottam, Dimitri Papadopoulos-Orfanos, Eesha Sharma, Matthew Hickman, Mireille Toledano, Nilakshi Vaidya, Tobias Banaschewski, Arun L. W. Bokde, Herta Flor, Antoine Grigis, Hugh Garavan, Penny Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère-Martinot, Eric Artiges, Frauke Nees, Tomás Paus, Luise Poustka, Juliane H. Fröhner, Lauren Robinson, Michael N. Smolka, Henrik Walter, Jeanne Winterer, Robert Whelan, Jessica A. Turner, Anand D. Sarwate, Sergey M. Plis, Vivek Benegal, Gunter Schumann, Vince D. Calhoun
Federated Analysis in COINSTAC Reveals Functional Network Connectivity and Spectral Links to Smoking and Alcohol Consumption in Nearly 2,000 Adolescent Brains. Neuroinformatics 21 (2) (2023)
Rashidul Islam, Kamrun Naher Keya, Shimei Pan, Anand D. Sarwate, James R. Foulds
Differential Fairness: An Intersectional Framework for Fair AI. Entropy 25 (4) (2023)
Batoul Taki, Anand D. Sarwate, Waheed U. Bajwa
Structured Low-Rank Tensors for Generalized Linear Models. CoRR (2023)
Zhichao Wang, Andrew Engel, Anand D. Sarwate, Ioana Dumitriu, Tony Chiang
Spectral Evolution and Invariance in Linear-width Neural Networks. NeurIPS (2023)
Soo Min Kwon, Xin Li, Anand D. Sarwate
Low-Rank Phase Retrieval with Structured Tensor Models. CoRR (2022)
Zhichao Wang, Andrew Engel, Anand D. Sarwate, Ioana Dumitriu, Tony Chiang
Spectral evolution and invariance in linear-width neural networks. CoRR (2022)
Yihan Zhang, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate
The Capacity of Causal Adversarial Channels. CoRR (2022)
Sunitha Basodi, Rajikha Raja, Bhaskar Ray, Harshvardhan Gazula, Anand D. Sarwate, Sergey M. Plis, Jingyu Liu, Eric Verner, Vince D. Calhoun
Decentralized Brain Age Estimation Using MRI Data. Neuroinformatics 20 (4) (2022)
Andrew Engel, Zhichao Wang, Anand D. Sarwate, Sutanay Choudhury, Tony Chiang
TorchNTK: A Library for Calculation of Neural Tangent Kernels of PyTorch Models. CoRR (2022)
Yihan Zhang, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate
The Capacity of Causal Adversarial Channels. ISIT (2022)
Soo Min Kwon, Xin Li, Anand D. Sarwate
Low-Rank Phase Retrieval with Structured Tensor Models. ICASSP (2022)
Nitya Sathyavageeswaran, Roy D. Yates, Anand D. Sarwate, Narayan B. Mandayam
Privacy Leakage in Discrete-Time Updating Systems. ISIT (2022)
Yihan Zhang, Shashank Vatedka, Sidharth Jaggi, Anand D. Sarwate
Quadratically Constrained Myopic Adversarial Channels. IEEE Trans. Inf. Theory 68 (8) (2022)
Sijie Xiong, Anand D. Sarwate, Narayan B. Mandayam
Network Traffic Shaping for Enhancing Privacy in IoT Systems. IEEE/ACM Trans. Netw. 30 (3) (2022)
Frank Cangialosi, Neil Agarwal, Venkat Arun, Srinivas Narayana, Anand D. Sarwate, Ravi Netravali
Privid: Practical, Privacy-Preserving Video Analytics Queries. NSDI (2022)
Kelly Rootes-Murdy, Harshvardhan Gazula, Eric Verner, Ross Kelly, Thomas DeRamus, Sergey M. Plis, Anand D. Sarwate, Jessica A. Turner, Vince D. Calhoun
Federated Analysis of Neuroimaging Data: A Review of the Field. Neuroinformatics 20 (2) (2022)
Nitya Sathyavageesran, Roy D. Yates, Anand D. Sarwate, Narayan B. Mandayam
Privacy Leakage in Discrete Time Updating Systems. CoRR (2022)
Sijie Xiong, Anand D. Sarwate, Narayan B. Mandayam
Network Traffic Shaping for Enhancing Privacy in IoT Systems. CoRR (2021)
Batoul Taki, Mohsen Ghassemi, Anand D. Sarwate, Waheed U. Bajwa
A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression. CoRR (2021)
Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Anand D. Sarwate
Predictive Learning on Hidden Tree-Structured Ising Models. J. Mach. Learn. Res. 22 (2021)
Batoul Taki, Mohsen Ghassemi, Anand D. Sarwate, Waheed U. Bajwa
A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression. ACSCC (2021)
Harshvardhan Gazula, Bharath Holla, Zuo Zhang, Jiayuan Xu, Eric Verner, Ross Kelly, Sanjeev Jain, Rose Dawn Bharath, Gareth J. Barker, Debasish Basu, Amit Chakrabarti, Kartik Kalyanram, Kalyanaraman Kumaran, Lenin Singh, Rebecca Kuriyan, Pratima Murthy, Vivek Benega, Sergey M. Plis, Anand D. Sarwate, Jessica A. Turner, Gunter Schumann, Vince D. Calhoun
Decentralized Multisite VBM Analysis During Adolescence Shows Structural Changes Linked to Age, Body Mass Index, and Smoking: a COINSTAC Analysis. Neuroinformatics 19 (4) (2021)
Gowtham R. Kurri, Vinod M. Prabhakaran, Anand D. Sarwate
Coordination Through Shared Randomness. IEEE Trans. Inf. Theory 67 (8) (2021)
Aria Rezaei, Jie Gao, Anand D. Sarwate
Influencers and the Giant Component: The Fundamental Hardness in Privacy Protection for Socially Contagious Attributes. SDM (2021)
Hafiz Imtiaz, Jafar Mohammadi, Rogers F. Silva, Bradley T. Baker, Sergey M. Plis, Anand D. Sarwate, Vince D. Calhoun
A Correlated Noise-Assisted Decentralized Differentially Private Estimation Protocol, and its Application to fMRI Source Separation. IEEE Trans. Signal Process. 69 (2021)
Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Or Sheffet, Anand D. Sarwate
Quantile Multi-Armed Bandits: Optimal Best-Arm Identification and a Differentially Private Scheme. IEEE J. Sel. Areas Inf. Theory 2 (2) (2021)
Amitalok J. Budkuley, Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate, Carol Wang
Symmetrizability for Myopic AVCs. ISIT (2020)
Daniel M. Bittner, Alejandro E. Brito, Mohsen Ghassemi, Shantanu Rane, Anand D. Sarwate, Rebecca N. Wright
Understanding Privacy-Utility Tradeoffs in Differentially Private Online Active Learning. J. Priv. Confidentiality 10 (2) (2020)
Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms. IEEE Trans. Signal Process. 68 (2020)
Harshvardhan Gazula, Ross Kelly, Javier Romero, Eric Verner, Bradley T. Baker, Rogers F. Silva, Hafiz Imtiaz, Debbrata K. Saha, Rajikha Raja, Jessica A. Turner, Anand D. Sarwate, Sergey M. Plis, Vince D. Calhoun
COINSTAC: Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation. J. Open Source Softw. 5 (54) (2020)
Aria Rezaei, Jie Gao, Anand D. Sarwate
Influencers and the Giant Component: the Fundamental Hardness in Privacy Protection for Socially Contagious Attributes. CoRR (2020)
Dionysios S. Kalogerias, Konstantinos E. Nikolakakis, Anand D. Sarwate, Or Sheffet
Best-Arm Identification for Quantile Bandits with Privacy. CoRR (2020)
Mohsen Ghassemi, Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate
Sample Complexity Bounds for Low-Separation-Rank Dictionary Learning. ISIT (2019)
Bradley T. Baker, Anees Abrol, Rogers F. Silva, Eswar Damaraju, Anand D. Sarwate, Vince D. Calhoun, Sergey M. Plis
Decentralized temporal independent component analysis: Leveraging fMRI data in collaborative settings. NeuroImage 186 (2019)
Hafiz Imtiaz, Jafar Mohammadi, Rogers F. Silva, Bradley T. Baker, Sergey M. Plis, Anand D. Sarwate, Vince D. Calhoun
Improved Differentially Private Decentralized Source Separation for fMRI Data. CoRR (2019)
Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms. CoRR (2019)
Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Anand D. Sarwate
Learning Tree Structures from Noisy Data. AISTATS (2019)
Hafiz Imtiaz, Anand D. Sarwate
Distributed Differentially-private Canonical Correlation Analysis. ICASSP (2019)
Hafiz Imtiaz, Jafar Mohammadi, Anand D. Sarwate
Distributed Differentially Private Computation of Functions with Correlated Noise. CoRR (2019)
Tamir Hazan, Francesco Orabona, Anand D. Sarwate, Subhransu Maji, Tommi S. Jaakkola
High Dimensional Inference With Random Maximum A-Posteriori Perturbations. IEEE Trans. Inf. Theory 65 (10) (2019)
Gowtham R. Kurri, Vinod M. Prabhakaran, Anand D. Sarwate
Coordination Through Shared Randomness. CoRR (2019)
Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate, Carol Wang
The Interplay of Causality and Myopia in Adversarial Channel Models. ISIT (2019)
Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Anand D. Sarwate
Non-Parametric Structure Learning on Hidden Tree-Shaped Distributions. CoRR (2019)
Hafiz Imtiaz, Anand D. Sarwate
Differentially Private Distributed Principal Component Analysis. ICASSP (2018)
Tongxin Li, Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate
Quadratically Constrained Channels with Causal Adversaries. ISIT (2018)
Mohsen Ghassemi, Anand D. Sarwate, Naveen Goela
Global Optimality in Inductive Matrix Completion. ICASSP (2018)
Hafiz Imtiaz, Anand D. Sarwate
Improved Algorithms for Differentially Private Orthogonal Tensor Decomposition. ICASSP (2018)
Yihan Zhang, Shashank Vatedka, Sidharth Jaggi, Anand D. Sarwate
Quadratically Constrained Myopic Adversarial Channels. ISIT (2018)
Daniel M. Bittner, Anand D. Sarwate, Rebecca N. Wright
Using Noisy Binary Search for Differentially Private Anomaly Detection. CSCML (2018)
Yihan Zhang, Shashank Vatedka, Sidharth Jaggi, Anand D. Sarwate
Quadratically Constrained Myopic Adversarial Channels. CoRR (2018)
Kousha Kalantari, Lalitha Sankar, Anand D. Sarwate
Robust Privacy-Utility Tradeoffs Under Differential Privacy and Hamming Distortion. IEEE Trans. Inf. Forensics Secur. 13 (11) (2018)
Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate
Minimax Lower Bounds on Dictionary Learning for Tensor Data. IEEE Trans. Inf. Theory 64 (4) (2018)
Gowtham R. Kurri, Vinod M. Prabhakaran, Anand D. Sarwate
Coordination Using Individually Shared Randomness. CoRR (2018)
Tongxin Li, Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate
Quadratically Constrained Channels with Causal Adversaries. CoRR (2018)
Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
Identifiability of Kronecker-Structured Dictionaries for Tensor Data. IEEE J. Sel. Top. Signal Process. 12 (5) (2018)
Gowtham R. Kurri, Vinod M. Prabhakaran, Anand D. Sarwate
Coordination Using Individually Shared Randomness. ISIT (2018)
Sijie Xiong, Anand D. Sarwate, Narayan B. Mandayam
Defending Against Packet-Size Side-Channel Attacks in Iot Networks. ICASSP (2018)
Anusha Lalitha, Tara Javidi, Anand D. Sarwate
Social Learning and Distributed Hypothesis Testing. IEEE Trans. Inf. Theory 64 (9) (2018)
Hafiz Imtiaz, Anand D. Sarwate
Distributed Differentially Private Algorithms for Matrix and Tensor Factorization. IEEE J. Sel. Top. Signal Process. 12 (6) (2018)
Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Anand D. Sarwate
Predictive Learning on Sign-Valued Hidden Markov Trees. CoRR (2018)
Hafiz Imtiaz, Anand D. Sarwate
Distributed Differentially-Private Algorithms for Matrix and Tensor Factorization. CoRR (2018)
Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate
Sample complexity bounds for dictionary learning of tensor data. ICASSP (2017)
Nikolas P. Wojtalewicz, Rogers F. Silva, Vince D. Calhoun, Anand D. Sarwate, Sergey M. Plis
Decentralized independent vector analysis. ICASSP (2017)
Bangtian Liu, Chengyao Wen, Anand D. Sarwate, Maryam Mehri Dehnavi
A Unified Optimization Approach for Sparse Tensor Operations on GPUs. CoRR (2017)
Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
Identifiability of Kronecker-structured Dictionaries for Tensor Data. CoRR (2017)
Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
STARK: Structured dictionary learning through rank-one tensor recovery. CAMSAP (2017)
Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
Identification of kronecker-structured dictionaries: An asymptotic analysis. CAMSAP (2017)
Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
STARK: Structured Dictionary Learning Through Rank-one Tensor Recovery. CoRR (2017)
Daniel M. Bittner, Anand D. Sarwate, Rebecca N. Wright
Differentially Private Noisy Search with Applications to Anomaly Detection (Abstract). AISec@CCS (2017)
Jing Ming, Eric Verner, Anand D. Sarwate, Ross Kelly, Cory Reed, Torran Kahleck, Rogers F. Silva, Sandeep R. Panta, Jessica Turner, Sergey M. Plis, Vince D. Calhoun
COINSTAC: Decentralizing the future of brain imaging analysis. F1000Research 6 (2017)
Hafiz Imtiaz, Anand D. Sarwate
Differentially-private canonical correlation analysis. GlobalSIP (2017)
Avleen Singh Bijral, Anand D. Sarwate, Nathan Srebro
Data-Dependent Convergence for Consensus Stochastic Optimization. IEEE Trans. Autom. Control. 62 (9) (2017)
Bangtian Liu, Chengyao Wen, Anand D. Sarwate, Maryam Mehri Dehnavi
A Unified Optimization Approach for Sparse Tensor Operations on GPUs. CLUSTER (2017)
Liyang Xie, Sergey M. Plis, Anand D. Sarwate
Data-weighted ensemble learning for privacy-preserving distributed learning. ICASSP (2016)
Sijie Xiong, Anand D. Sarwate, Narayan B. Mandayam
Randomized requantization with local differential privacy. ICASSP (2016)
Mohsen Ghassemi, Anand D. Sarwate, Rebecca N. Wright
Differentially Private Online Active Learning with Applications to Anomaly Detection. AISec@CCS (2016)
Hafiz Imtiaz, Anand D. Sarwate
Symmetric matrix perturbation for differentially-private principal component analysis. ICASSP (2016)
Hafiz Imtiaz, Rogers F. Silva, Bradley T. Baker, Sergey M. Plis, Anand D. Sarwate, Vince D. Calhoun
Privacy-preserving source separation for distributed data using independent component analysis. CISS (2016)
Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate
A bit of delay is sufficient and stochastic encoding is necessary to overcome online adversarial erasures. ISIT (2016)
Zahra Shakeri, Waheed Uz Zaman Bajwa, Anand D. Sarwate
Minimax lower bounds for Kronecker-structured dictionary learning. ISIT (2016)
Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate
Minimax Lower Bounds for Kronecker-Structured Dictionary Learning. CoRR (2016)
Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate
The benefit of a 1-bit jump-start, and the necessity of stochastic encoding, in jamming channels. CoRR (2016)
Tamir Hazan, Francesco Orabona, Anand D. Sarwate, Subhransu Maji, Tommi S. Jaakkola
High Dimensional Inference with Random Maximum A-Posteriori Perturbations. CoRR (2016)
Avleen Singh Bijral, Anand D. Sarwate, Nathan Srebro
Data-dependent bounds on network gradient descent. Allerton (2016)
Kousha Kalantari, Lalitha Sankar, Anand D. Sarwate
The Optimal Differential Privacy Mechanism under Hamming Distortion for Universal Memoryless Source Classes. CoRR (2016)
Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate
Minimax Lower Bounds on Dictionary Learning for Tensor Data. CoRR (2016)
Kousha Kalantari, Lalitha Sankar, Anand D. Sarwate
Optimal differential privacy mechanisms under Hamming distortion for structured source classes. ISIT (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Anand D. Sarwate