Anand Sarwate

About Anand Sarwate

Anand Sarwate, With an exceptional h-index of 29 and a recent h-index of 21 (since 2020), a distinguished researcher at Rutgers, The State University of New Jersey, specializes in the field of Distributed Information Processing, Information Theory, Signal Processing, Machine Learning, Privacy.

His recent articles reflect a diverse array of research interests and contributions to the field:

Spectral evolution and invariance in linear-width neural networks

Federated Learning of Tensor Generalized Linear Models with low Separation Rank

Low Separation Rank in Tensor Generalized Linear Models: An Asymptotic Analysis

Approximating functions with approximate privacy for applications in signal estimation and learning

Federated, Fast, and Private Visualization of Decentralized Data

Differential fairness: an intersectional framework for fair AI

Computationally Efficient Codes for Adversarial Binary-Erasure Channels

Critical AI and Design Justice: An Interview with Sasha Costanza-Chock

Anand Sarwate Information

University

Position

Associate Professor

Citations(all)

6120

Citations(since 2020)

3574

Cited By

4091

hIndex(all)

29

hIndex(since 2020)

21

i10Index(all)

75

i10Index(since 2020)

55

Email

University Profile Page

Google Scholar

Anand Sarwate Skills & Research Interests

Distributed Information Processing

Information Theory

Signal Processing

Machine Learning

Privacy

Top articles of Anand Sarwate

Title

Journal

Author(s)

Publication Date

Spectral evolution and invariance in linear-width neural networks

Advances in Neural Information Processing Systems

Zhichao Wang

Andrew Engel

Anand D Sarwate

Ioana Dumitriu

Tony Chiang

2024/2/13

Federated Learning of Tensor Generalized Linear Models with low Separation Rank

Jose Hoyos Sanchez

Batoul Taki

Waheed U Bajwa

Anand D Sarwate

2024/4/14

Low Separation Rank in Tensor Generalized Linear Models: An Asymptotic Analysis

Batoul Taki

Anand D Sarwate

Waheed U Bajwa

2024/3/13

Approximating functions with approximate privacy for applications in signal estimation and learning

Entropy

Naima Tasnim

Jafar Mohammadi

Anand D Sarwate

Hafiz Imtiaz

2023/5/22

Federated, Fast, and Private Visualization of Decentralized Data

Debbrata Kumar Saha

Vince Calhoun

Soo Min Kwon

Anand Sarwate

Rekha Saha

...

2023/7/21

Differential fairness: an intersectional framework for fair AI

Entropy

Rashidul Islam

Kamrun Naher Keya

Shimei Pan

Anand D Sarwate

James R Foulds

2023/4/14

Computationally Efficient Codes for Adversarial Binary-Erasure Channels

Sijie Li

Prasad Krishnan

Sidharth Jaggi

Michael Langberg

Anand D Sarwate

2023/6/25

Critical AI and Design Justice: An Interview with Sasha Costanza-Chock

Critical AI

Kristin Rose

Kate Henne

Sabelo Mhlambi

Anand Sarwate

Sasha Costanza-Chock

2023/10/1

Federated analysis in COINSTAC reveals functional network connectivity and spectral links to smoking and alcohol consumption in nearly 2,000 adolescent brains

Neuroinformatics

Harshvardhan Gazula

Kelly Rootes-Murdy

Bharath Holla

Sunitha Basodi

Zuo Zhang

...

2023/4

Robust Nonparametric Hypothesis Testing to Understand Variability in Training Neural Networks

arXiv preprint arXiv:2310.00541

Sinjini Banerjee

Reilly Cannon

Tim Marrinan

Tony Chiang

Anand D Sarwate

2023/10/1

Enhancing collaborative neuroimaging research: introducing COINSTAC Vaults for federated analysis and reproducibility

Frontiers in Neuroinformatics

Dylan Martin

Sunitha Basodi

Sandeep Panta

Kelly Rootes-Murdy

Paul Prae

...

2023/6/19

FAITHFUL AND EFFICIENT EXPLANATIONS FOR NEU-RAL NETWORKS VIA NEURAL TANGENT KERNEL SUR-ROGATE MODELS

Andrew Engel

Zhichao Wang

Natalie S Frank

Ioana Dumitriu

Sutanay Choudhury

...

2023

Minibatching Offers Improved Generalization Performance for Second Order Optimizers

arXiv preprint arXiv:2307.11684

Eric Silk

Swarnita Chakraborty

Nairanjana Dasgupta

Anand D Sarwate

Andrew Lumsdaine

...

2023/5/26

Cortical similarities in psychiatric and mood disorders identified in federated VBM analysis via COINSTAC

medRxiv

Kelly Rootes-Murdy

Sandeep Panta

Ross Kelly

Javier Romero

Yann Quide

...

2023

Robust explanations for deep neural networks via pseudo neural tangent kernel surrogate models

arXiv preprint arXiv:2305.14585

Andrew Engel

Zhichao Wang

Natalie S Frank

Ioana Dumitriu

Sutanay Choudhury

...

2023/5/23

Structured Low-Rank Tensors for Generalized Linear Models

arXiv preprint arXiv:2308.02922

Batoul Taki

Anand D Sarwate

Waheed U Bajwa

2023/8/5

Quadratically constrained myopic adversarial channels

IEEE Transactions on Information Theory

Yihan Zhang

Shashank Vatedka

Sidharth Jaggi

Anand D Sarwate

2022/4/14

Privacy leakage in discrete-time updating systems

Nitya Sathyavageeswaran

Roy D Yates

Anand D Sarwate

Narayan Mandayam

2022/6/26

Privid: Practical, Privacy-Preserving Queries on Public Video

19th USENIX Symposium on Networked Systems Design and Implementation

Frank Cangialosi

Neil Agarwal

Venkat Arun

Junchen Jiang

Srinivas Narayana

...

2022/4

The capacity of causal adversarial channels

Yihan Zhang

Sidharth Jaggi

Michael Langberg

Anand D Sarwate

2022/6/26

See List of Professors in Anand Sarwate University(Rutgers, The State University of New Jersey)

Co-Authors

academic-engine