List of works - Anand D Sarwate

A little feedback can simplify sensor network cooperation

scientific article published in September 2010

Active dictionary learning for image representation

scientific article published on 22 May 2015

Adversarial interference models for multiantenna cooperative systems

scientific article published in March 2008

An AVC perspective on correlated jamming

scientific article published in July 2012

Arbitrarily dirty paper coding and applications

article

Assisted sampling of correlated sources

scientific article published in July 2013

COINSTAC: A Privacy Enabled Model and Prototype for Leveraging and Processing Decentralized Brain Imaging Data

scientific article

COINSTAC: Decentralizing the future of brain imaging analysis.

scientific article published on 18 August 2017

Channels with nosy "noise"

scientific article published in June 2007

Coding against delayed adversaries

scientific article published in June 2010

Coding against myopic adversaries

scientific article published in August 2010

Data-Dependent Convergence for Consensus Stochastic Optimization

scientific article published in September 2017

Data-weighted ensemble learning for privacy-preserving distributed learning

scientific article published in March 2016

Distributed Learning of Distributions via Social Sampling

scientific article published in January 2015

Geographic Gossip: Efficient Averaging for Sensor Networks

scientific article published in 2008

Identifiability of Kronecker-Structured Dictionaries for Tensor Data

scientific article published in October 2018

Improved upper bounds on the capacity of binary channels with causal adversaries

scientific article published in July 2012

Incentive Schemes for Privacy-Sensitive Consumers

scientific article published in 2015

Linear strategies for the Gaussian MAC with user cooperation

scientific article published in September 2010

List-Decoding for the Arbitrarily Varying Channel Under State Constraints

scientific article published in March 2012

Minimax Lower Bounds on Dictionary Learning for Tensor Data

scientific article published in April 2018

Privacy technology to support data sharing for comparative effectiveness research: a systematic review

scientific article

Privacy-preserving source separation for distributed data using independent component analysis

scientific article published in March 2016

Protecting count queries in study design

scientific article published on 17 April 2012

Randomization bounds on Gaussian arbitrarily varying channels

scientific article published in July 2006

Randomized requantization with local differential privacy

scientific article published in March 2016

Rateless Codes for AVC Models

scientific article published in July 2010

Rateless coding with partial CSI at the decoder

scientific article published in September 2007

Reaching consensus in wireless networks with probabilistic broadcast

scientific article published in September 2009

Redundancy of Exchangeable Estimators ⬇️

scientific article published on 13 October 2014

Risk-limiting Audits and the Margin of Victory in Nonplurality Elections

scientific article published on 11 January 2013

Robust Privacy-Utility Tradeoffs Under Differential Privacy and Hamming Distortion

scientific article published in November 2018

Sharing privacy-sensitive access to neuroimaging and genetics data: a review and preliminary validation

scientific article (publication date: 2014)

Signal Processing and Machine Learning with Differential Privacy: Algorithms and challenges for continuous data

scientific article

Social Learning and Distributed Hypothesis Testing

scientific article published in September 2018

Social learning and distributed hypothesis testing

scientific article published in June 2014

Spatial Filtering in Sensor Networks with Computation Codes

scientific article published in August 2007

Stochastic gradient descent with differentially private updates

scientific article published in December 2013

Symmetric matrix perturbation for differentially-private principal component analysis

scientific article published in March 2016

The Impact of Mobility on Gossip Algorithms

article

Tradeoffs for task parallelization in distributed optimization

scientific article published in September 2014

List of works by Anand D Sarwate

A little feedback can simplify sensor network cooperation

Active dictionary learning for image representation

Adversarial interference models for multiantenna cooperative systems

An AVC perspective on correlated jamming

Arbitrarily dirty paper coding and applications

Assisted sampling of correlated sources

COINSTAC: A Privacy Enabled Model and Prototype for Leveraging and Processing Decentralized Brain Imaging Data

COINSTAC: Decentralizing the future of brain imaging analysis.

Channels with nosy "noise"

Coding against delayed adversaries

Coding against myopic adversaries

Data-Dependent Convergence for Consensus Stochastic Optimization

Data-weighted ensemble learning for privacy-preserving distributed learning

Distributed Learning of Distributions via Social Sampling

Geographic Gossip: Efficient Averaging for Sensor Networks

Identifiability of Kronecker-Structured Dictionaries for Tensor Data

Improved upper bounds on the capacity of binary channels with causal adversaries

Incentive Schemes for Privacy-Sensitive Consumers

Linear strategies for the Gaussian MAC with user cooperation

List-Decoding for the Arbitrarily Varying Channel Under State Constraints

Minimax Lower Bounds on Dictionary Learning for Tensor Data

Privacy technology to support data sharing for comparative effectiveness research: a systematic review

Privacy-preserving source separation for distributed data using independent component analysis

Protecting count queries in study design

Randomization bounds on Gaussian arbitrarily varying channels

Randomized requantization with local differential privacy

Rateless Codes for AVC Models

Rateless coding with partial CSI at the decoder

Reaching consensus in wireless networks with probabilistic broadcast

Redundancy of Exchangeable Estimators ⬇️

Risk-limiting Audits and the Margin of Victory in Nonplurality Elections

Robust Privacy-Utility Tradeoffs Under Differential Privacy and Hamming Distortion

Sharing privacy-sensitive access to neuroimaging and genetics data: a review and preliminary validation

Signal Processing and Machine Learning with Differential Privacy: Algorithms and challenges for continuous data

Social Learning and Distributed Hypothesis Testing

Social learning and distributed hypothesis testing

Spatial Filtering in Sensor Networks with Computation Codes

Stochastic gradient descent with differentially private updates

Symmetric matrix perturbation for differentially-private principal component analysis

The Impact of Mobility on Gossip Algorithms

Tradeoffs for task parallelization in distributed optimization