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Anand D. Sarwate
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Publications
- 2024
- [j43]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): 100987 (2024) - [c72]Ye Tao, Anand D. Sarwate, Sandeep R. Panta, Sergey M. Plis, Vince D. Calhoun:
Privacy-Preserving Visualization of Brain Functional Network Connectivity. ISBI 2024: 1-5 - [d1]Vince D. Calhoun, Sergey M. Plis, Jessica A. Turner, Anand D. Sarwate:
COINSTAC: Decentralizing the future of brain imaging analysis. Zenodo, 2024 - 2023
- [j41]Naima Tasnim, Jafar Mohammadi, Anand D. Sarwate, Hafiz Imtiaz:
Approximating Functions with Approximate Privacy for Applications in Signal Estimation and Learning. Entropy 25(5): 825 (2023) - [j40]Dylan Martin, Sunitha Basodi, Sandeep R. Panta, Kelly Rootes-Murdy, Paul Prae, Anand D. Sarwate, Ross Kelly, Javier Tomas 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) - [j39]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 Desrivières, 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 A. 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): 287-301 (2023) - 2022
- [j37]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): 377-390 (2022) - [j36]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): 981-990 (2022) - 2021
- [j31]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, Rajkumar 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): 553-566 (2021) - [j29]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: 6355-6370 (2021) - 2020
- [j28]Harshvardhan Gazula, Ross Kelly, Javier Tomas 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): 2166 (2020) - 2019
- [j25]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: 557-569 (2019) - [c61]Hafiz Imtiaz, Anand D. Sarwate:
Distributed Differentially-private Canonical Correlation Analysis. ICASSP 2019: 3112-3116 - [i36]Hafiz Imtiaz, Jafar Mohammadi, Anand D. Sarwate:
Distributed Differentially Private Computation of Functions with Correlated Noise. CoRR abs/1904.10059 (2019) - [i33]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 abs/1910.12913 (2019) - 2018
- [j22]Hafiz Imtiaz, Anand D. Sarwate:
Distributed Differentially Private Algorithms for Matrix and Tensor Factorization. IEEE J. Sel. Top. Signal Process. 12(6): 1449-1464 (2018) - [c56]Hafiz Imtiaz, Anand D. Sarwate:
Improved Algorithms for Differentially Private Orthogonal Tensor Decomposition. ICASSP 2018: 2201-2205 - [c55]Hafiz Imtiaz, Anand D. Sarwate:
Differentially Private Distributed Principal Component Analysis. ICASSP 2018: 2206-2210 - [i31]Hafiz Imtiaz, Anand D. Sarwate:
Distributed Differentially-Private Algorithms for Matrix and Tensor Factorization. CoRR abs/1804.10299 (2018) - 2017
- [c46]Hafiz Imtiaz, Anand D. Sarwate:
Differentially-private canonical correlation analysis. GlobalSIP 2017: 283-287 - [c45]Nikolas P. Wojtalewicz, Rogers F. Silva, Vince D. Calhoun, Anand D. Sarwate, Sergey M. Plis:
Decentralized independent vector analysis. ICASSP 2017: 826-830 - [i24]Jing Ming, Eric Verner, Anand D. Sarwate, Ross Kelly, Cory Reed, Torran Kahleck, Rogers F. Silva, Sandeep R. Panta, Jessica A. Turner, Sergey M. Plis, Vince D. Calhoun:
COINSTAC: Decentralizing the future of brain imaging analysis. F1000Research 6: 1512- (2017) - 2016
- [c41]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: 123-127 - [c38]Liyang Xie, Sergey M. Plis, Anand D. Sarwate:
Data-weighted ensemble learning for privacy-preserving distributed learning. ICASSP 2016: 2309-2313 - [c37]Hafiz Imtiaz, Anand D. Sarwate:
Symmetric matrix perturbation for differentially-private principal component analysis. ICASSP 2016: 2339-2343 - 2015
- [c29]Bradley T. Baker, Rogers F. Silva, Vince D. Calhoun, Anand D. Sarwate, Sergey M. Plis:
Large scale collaboration with autonomy: Decentralized data ICA. MLSP 2015: 1-6 - 2014
- [j14]Anand D. Sarwate, Sergey M. Plis, Jessica A. Turner, Mohammad Arbabshirani, Vince D. Calhoun:
Sharing privacy-sensitive access to neuroimaging and genetics data: a review and preliminary validation. Frontiers Neuroinformatics 8: 35 (2014)
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