Andrea J. Goldsmith

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 143

Top Venues

CoRR

IEEE Trans. Inf. Theory

ISIT

IEEE Trans. Wirel. Commun.

Publications

Rajarshi Saha, Mohamed Seif, Michal Yemini, Andrea J. Goldsmith, H. Vincent Poor
Privacy Preserving Semi-Decentralized Mean Estimation over Intermittently-Connected Networks. CoRR (2024)
Rajarshi Saha, Naomi Sagan, Varun Srivastava, Andrea J. Goldsmith, Mert Pilanci
Compressing Large Language Models using Low Rank and Low Precision Decomposition. CoRR (2024)
Mohamed Seif, Liyan Xie, Andrea J. Goldsmith, H. Vincent Poor
Private Online Community Detection for Censored Block Models. CoRR (2024)
Matthew Cavorsi, Orhan Eren Akgün, Michal Yemini, Andrea J. Goldsmith, Stephanie Gil
Exploiting Trust for Resilient Hypothesis Testing With Malicious Robots. IEEE Trans. Robotics 40 (2024)
Mohamed Seif, Yanxi Chen, Andrea J. Goldsmith, H. Vincent Poor
Differentially Private Sketch-and-Solve for Community Detection via Semidefinite Programming. IEEE J. Sel. Areas Inf. Theory 5 (2024)
Michal Yemini, Rajarshi Saha, Emre Ozfatura, Deniz Gündüz, Andrea J. Goldsmith
Robust Semi-Decentralized Federated Learning via Collaborative Relaying. IEEE Trans. Wirel. Commun. 23 (7) (2024)
Mohamed Seif, Alphan Sahin, H. Vincent Poor, Andrea J. Goldsmith
On Differential Privacy for Wireless Federated Learning with Non-coherent Aggregation. GLOBECOM (2023)
Matthew Cavorsi, Orhan Eren Akgün, Michal Yemini, Andrea J. Goldsmith, Stephanie Gil
Exploiting Trust for Resilient Hypothesis Testing with Malicious Robots. ICRA (2023)
Rajarshi Saha, Mert Pilanci, Andrea J. Goldsmith
Low Precision Representations for High Dimensional Models. ICASSP (2023)
Mohamed Seif, Andrea J. Goldsmith, H. Vincent Poor
Differentially Private Community Detection over Stochastic Block Models with Graph Sketching. CISS (2023)
Rajarshi Saha, Mohamed Seif, Michal Yemini, Andrea J. Goldsmith, H. Vincent Poor
Collaborative Mean Estimation over Intermittently Connected Networks with Peer-To-Peer Privacy. ISIT (2023)
Michal Yemini, Stephanie Gil, Andrea J. Goldsmith
Cloud-Cluster Architecture for Detection in Intermittently Connected Sensor Networks. IEEE Trans. Wirel. Commun. 22 (2) (2023)
Stephanie Gil, Michal Yemini, Arsenia Chorti, Angelia Nedic, H. Vincent Poor, Andrea J. Goldsmith
How Physicality Enables Trust: A New Era of Trust-Centered Cyberphysical Systems. CoRR (2023)
Rajarshi Saha, Mohamed Seif, Michal Yemini, Andrea J. Goldsmith, H. Vincent Poor
Collaborative Mean Estimation over Intermittently Connected Networks with Peer-To-Peer Privacy. CoRR (2023)
Nir Shlezinger, Nariman Farsad, Yonina C. Eldar, Andrea J. Goldsmith
Learned Factor Graphs for Inference From Stationary Time Sequences. IEEE Trans. Signal Process. 70 (2022)
Michal Yemini, Rajarshi Saha, Emre Ozfatura, Deniz Gündüz, Andrea J. Goldsmith
Robust Federated Learning with Connectivity Failures: A Semi-Decentralized Framework with Collaborative Relaying. CoRR (2022)
Michal Yemini, Rajarshi Saha, Emre Ozfatura, Deniz Gündüz, Andrea J. Goldsmith
Semi-Decentralized Federated Learning with Collaborative Relaying. ISIT (2022)
Rajarshi Saha, Mert Pilanci, Andrea J. Goldsmith
Minimax Optimal Quantization of Linear Models: Information-Theoretic Limits and Efficient Algorithms. CoRR (2022)
Maryam Olyaee, Juan M. Romero-Jerez, Francisco Javier López-Martínez, Andrea J. Goldsmith
Composite IG/FTR Channel Performance in Wireless Communication Systems. CoRR (2022)
Maryam Olyaee, Juan M. Romero-Jerez, Francisco Javier López-Martínez, Andrea J. Goldsmith
Composite IG/FTR Channel Performance in Wireless Communication Systems. PIMRC (2022)
Michal Yemini, Angelia Nedic, Andrea J. Goldsmith, Stephanie Gil
Resilient Distributed Optimization for Multi-Agent Cyberphysical Systems. CoRR (2022)
Michal Yemini, Rajarshi Saha, Emre Ozfatura, Deniz Gündüz, Andrea J. Goldsmith
Semi-Decentralized Federated Learning with Collaborative Relaying. CoRR (2022)
Rajarshi Saha, Stefano Rini, Milind Rao, Andrea J. Goldsmith
Decentralized Optimization Over Noisy, Rate-Constrained Networks: Achieving Consensus by Communicating Differences. IEEE J. Sel. Areas Commun. 40 (2) (2022)
Maryam Olyaee, Juan M. Romero-Jerez, Francisco Javier López-Martínez, Andrea J. Goldsmith
Alternative Formulations for the Fluctuating Two-Ray Fading Model. IEEE Trans. Wirel. Commun. 21 (11) (2022)
Rajarshi Saha, Mert Pilanci, Andrea J. Goldsmith
Efficient Randomized Subspace Embeddings for Distributed Optimization Under a Communication Budget. IEEE J. Sel. Areas Inf. Theory 3 (2) (2022)
Michal Yemini, Angelia Nedic, Stephanie Gil, Andrea J. Goldsmith
Resilience to Malicious Activity in Distributed Optimization for Cyberphysical Systems. CDC (2022)
Michal Yemini, Angelia Nedic, Andrea J. Goldsmith, Stephanie Gil
Characterizing Trust and Resilience in Distributed Consensus for Cyberphysical Systems. IEEE Trans. Robotics 38 (1) (2022)
Nariman Farsad, Nir Shlezinger, Andrea J. Goldsmith, Yonina C. Eldar
Data-Driven Symbol Detection Via Model-Based Machine Learning. SSP (2021)
Rajarshi Saha, Mert Pilanci, Andrea J. Goldsmith
Distributed Learning and Democratic Embeddings: Polynomial-Time Source Coding Schemes Can Achieve Minimax Lower Bounds for Distributed Gradient Descent under Communication Constraints. CoRR (2021)
Nir Shlezinger, Nariman Farsad, Yonina C. Eldar, Andrea J. Goldsmith
Model-Based Machine Learning for Communications. CoRR (2021)
Michal Yemini, Elza Erkip, Andrea J. Goldsmith
Interference Reduction in Virtual Cell Optimization. ACSCC (2021)
Michal Yemini, Stephanie Gil, Andrea J. Goldsmith
Cloud-Cluster Architecture for Detection in Intermittently Connected Sensor Networks. CoRR (2021)
Alon Kipnis, Stefano Rini, Andrea J. Goldsmith
The Rate-Distortion Risk in Estimation From Compressed Data. IEEE Trans. Inf. Theory 67 (5) (2021)
Maryam Olyaee, Juan M. Romero-Jerez, F. Javier López-Martínez, Andrea J. Goldsmith
Alternative Formulations for the Fluctuating Two-Ray Fading Model. CoRR (2021)
Michal Yemini, Andrea J. Goldsmith
Virtual Cell Clustering With Optimal Resource Allocation to Maximize Capacity. IEEE Trans. Wirel. Commun. 20 (8) (2021)
Andrea J. Goldsmith
Welcome to the IEEE Journal on Selected Areas in Information Theory (JSAIT). IEEE J. Sel. Areas Inf. Theory 1 (1) (2020)
Nariman Farsad, Nir Shlezinger, Andrea J. Goldsmith, Yonina C. Eldar
Data-driven symbol detection via model-based machine learning. Commun. Inf. Syst. 20 (3) (2020)
Jong Woo Kwak, Huseyin Birkan Yilmaz, Nariman Farsad, Chan-Byoung Chae, Andrea J. Goldsmith
Two-Way Molecular Communications. IEEE Trans. Commun. 68 (6) (2020)
Thomas R. Dean, Mainak Chowdhury, Nicole Grimwood, Andrea J. Goldsmith
Rethinking Modulation and Detection for High Doppler Channels. IEEE Trans. Wirel. Commun. 19 (6) (2020)
Nir Shlezinger, Nariman Farsad, Yonina C. Eldar, Andrea J. Goldsmith
Data-Driven Factor Graphs for Deep Symbol Detection. CoRR (2020)
Nariman Farsad, Nir Shlezinger, Andrea J. Goldsmith, Yonina C. Eldar
Data-Driven Symbol Detection via Model-Based Machine Learning. CoRR (2020)
Nir Shlezinger, Nariman Farsad, Yonina C. Eldar, Andrea J. Goldsmith
ViterbiNet: A Deep Learning Based Viterbi Algorithm for Symbol Detection. IEEE Trans. Wirel. Commun. 19 (5) (2020)
Felipe Gómez-Cuba, Andrea J. Goldsmith
Compressed Sensing Channel Estimation for OFDM With Non-Gaussian Multipath Gains. IEEE Trans. Wirel. Commun. 19 (1) (2020)
Nir Shlezinger, Nariman Farsad, Yonina C. Eldar, Andrea J. Goldsmith
Data-Driven Factor Graphs for Deep Symbol Detection. ISIT (2020)
Nir Shlezinger, Nariman Farsad, Yonina C. Eldar, Andrea J. Goldsmith
Inference from Stationary Time Sequences via Learned Factor Graphs. CoRR (2020)
Michal Yemini, Elza Erkip, Andrea J. Goldsmith
Interference Reduction in Virtual Cell Optimization. CoRR (2020)
Nir Shlezinger, Yonina C. Eldar, Nariman Farsad, Andrea J. Goldsmith
ViterbiNet: Symbol Detection Using a Deep Learning Based Viterbi Algorithm. SPAWC (2019)
Michal Yemini, Andrea J. Goldsmith
Virtual Cell Clustering with Optimal Resource Allocation to Maximize Capacity. CoRR (2019)
Thomas R. Dean, Mary Wootters, Andrea J. Goldsmith
Blind Joint MIMO Channel Estimation and Decoding. IEEE Trans. Inf. Theory 65 (4) (2019)
Felipe Gómez-Cuba, Andrea J. Goldsmith
Compressed Sensing Channel Estimation for OFDM with non-Gaussian Multipath Gains. CoRR (2019)
Thomas R. Dean, Jonathan Perlstein, Mary Wootters, Andrea J. Goldsmith
Fast Blind MIMO Decoding Through Vertex Hopping. IEEE Trans. Wirel. Commun. 18 (7) (2019)
Alon Kipnis, Andrea J. Goldsmith, Yonina C. Eldar
The Distortion-Rate Function of Sampled Wiener Processes. IEEE Trans. Inf. Theory 65 (1) (2019)
Michal Yemini, Andrea J. Goldsmith
Virtual Cell Clustering with Optimal Resource Allocation to Maximize Cellular System Capacity. GLOBECOM (2019)
Felipe Gómez-Cuba, Andrea J. Goldsmith
Sparse mmWave OFDM Channel Estimation using Compressed Sensing. ICC (2019)
Yun Liao, Nariman Farsad, Nir Shlezinger, Yonina C. Eldar, Andrea J. Goldsmith
Deep Neural Network Symbol Detection for Millimeter Wave Communications. CoRR (2019)
Felipe Gómez-Cuba, Mainak Chowdhury, Alexandros Manolakos, Elza Erkip, Andrea J. Goldsmith
Capacity scaling in a Non-coherent Wideband Massive SIMO Block Fading Channel. CoRR (2019)
Yun Liao, Nariman Farsad, Nir Shlezinger, Yonina C. Eldar, Andrea J. Goldsmith
Deep Neural Network Symbol Detection for Millimeter Wave Communications. GLOBECOM (2019)
Michal Yemini, Andrea J. Goldsmith
Optimal Resource Allocation for Cellular Networks with Virtual Cell Joint Decoding. CoRR (2019)
Felipe Gómez-Cuba, Mainak Chowdhury, Alexandros Manolakos, Elza Erkip, Andrea J. Goldsmith
Capacity Scaling in a Non-Coherent Wideband Massive SIMO Block Fading Channel. IEEE Trans. Wirel. Commun. 18 (12) (2019)
Michal Yemini, Andrea J. Goldsmith
"Fog" Optimization via Virtual Cells in Cellular Network Resource Allocation. CoRR (2019)
Stefano Rini, Alon Kipnis, Ruiyang Song, Andrea J. Goldsmith
The Compress-and-Estimate Coding Scheme for Gaussian Sources. IEEE Trans. Wirel. Commun. 18 (9) (2019)
Michal Yemini, Andrea J. Goldsmith
Optimal Resource Allocation for Cellular Networks with Virtual Cell Joint Decoding. ISIT (2019)
Michal Yemini, Andrea J. Goldsmith
Virtual Cell Clustering with Optimal Resource Allocation to Maximize Cellular System Capacity. CoRR (2019)
Nir Shlezinger, Nariman Farsad, Yonina C. Eldar, Andrea J. Goldsmith
ViterbiNet: A Deep Learning Based Viterbi Algorithm for Symbol Detection. CoRR (2019)
Alon Kipnis, Andrea J. Goldsmith, Yonina C. Eldar
The Distortion Rate Function of Cyclostationary Gaussian Processes. IEEE Trans. Inf. Theory 64 (5) (2018)
Alon Kipnis, Yonina C. Eldar, Andrea J. Goldsmith
Fundamental Distortion Limits of Analog-to-Digital Compression. IEEE Trans. Inf. Theory 64 (9) (2018)
Ronny Hadani, Shlomo Rakib, Shachar Kons, Michael Tsatsanis, Anton Monk, Christian Ibars, Jim Delfeld, Yoav Hebron, Andrea J. Goldsmith, Andreas F. Molisch, A. Robert Calderbank
Orthogonal Time Frequency Space Modulation. CoRR (2018)
Alon Kipnis, Yonina C. Eldar, Andrea J. Goldsmith
Analog-to-Digital Compression: A New Paradigm for Converting Signals to Bits. IEEE Signal Process. Mag. 35 (3) (2018)
Georgia Murray, Alon Kipnis, Andrea J. Goldsmith
Lossy compression of decimated Gaussian random walks. CISS (2018)
Alon Kipnis, Yonina C. Eldar, Andrea J. Goldsmith
Analog-to-Digital Compression: A New Paradigm for Converting Signals to Bits. CoRR (2018)
Thomas R. Dean, Mary Wootters, Andrea J. Goldsmith
Blind Joint MIMO Channel Estimation and Decoding. CoRR (2018)
Felipe Gómez-Cuba, Andrea J. Goldsmith
Sparse mmWave OFDM Channel Estimation Using Compressed Sensing in OFDM Systems. CoRR (2018)
Mahnoosh Alizadeh, Hoi-To Wai, Andrea J. Goldsmith, Anna Scaglione
Marginal charging station pricing in an intelligent electric transportation system. ACC (2017)
Nariman Farsad, Andrea J. Goldsmith
Detection Algorithms for Communication Systems Using Deep Learning. CoRR (2017)
Mohamed-Slim Alouini, Ezio Biglieri, Dariush Divsalar, Samuel Dolinar, Andrea J. Goldsmith, Larry B. Milstein
The Life and Work of Marvin Kenneth Simon. IEEE Commun. Surv. Tutorials 19 (3) (2017)
Mahnoosh Alizadeh, Hoi-To Wai, Andrea J. Goldsmith, Anna Scaglione
Optimal Electricity Pricing for Societal Infrastructure Systems. HICSS (2017)
Ruiyang Song, Stefano Rini, Alon Kipnis, Andrea J. Goldsmith
Compress-and-estimate source coding for a vector Gaussian source. ITW (2017)
Nariman Farsad, David Pan, Andrea J. Goldsmith
A Novel Experimental Platform for In-Vessel Multi-Chemical Molecular Communications. CoRR (2017)
Yuxin Chen, Andrea J. Goldsmith, Yonina C. Eldar
On the Minimax Capacity Loss Under Sub-Nyquist Universal Sampling. IEEE Trans. Inf. Theory 63 (6) (2017)
Ronny Hadani, Shlomo Rakib, Michail Tsatsanis, Anton Monk, Andrea J. Goldsmith, Andreas F. Molisch, A. Robert Calderbank
Orthogonal Time Frequency Space Modulation. WCNC (2017)
Alon Kipnis, Galen Reeves, Yonina C. Eldar, Andrea J. Goldsmith
Compressed sensing under optimal quantization. ISIT (2017)
Nariman Farsad, Christopher Rose, Muriel Médard, Andrea J. Goldsmith
Capacity of Molecular Channels with Imperfect Particle-Intensity Modulation and Detection. CoRR (2017)
Milind Rao, Tara Javidi, Yonina C. Eldar, Andrea J. Goldsmith
Estimation in autoregressive processes with partial observations. ICASSP (2017)
Changmin Lee, Huseyin Birkan Yilmaz, Chan-Byoung Chae, Nariman Farsad, Andrea J. Goldsmith
Machine Learning based Channel Modeling for Molecular MIMO Communications. CoRR (2017)
Thomas R. Dean, Andrea J. Goldsmith
Physical-Layer Cryptography Through Massive MIMO. IEEE Trans. Inf. Theory 63 (8) (2017)
Alon Kipnis, Stefano Rini, Andrea J. Goldsmith
Coding theorems for the compress and estimate source coding problem. ISIT (2017)
Mainak Chowdhury, Junyoung Nam, Andrea J. Goldsmith
Coherence Time of Wireless Channels with Large Antenna Arrays. WCNC (2017)
Vahid Jamali, Arman Ahmadzadeh, Nariman Farsad, Robert Schober, Andrea J. Goldsmith
SCW Codes for Optimal CSI-Free Detection in Diffusive Molecular Communications. CoRR (2017)
Nima Soltani, Andrea J. Goldsmith
Directed Information Between Connected Leaky Integrate-and-Fire Neurons. IEEE Trans. Inf. Theory 63 (9) (2017)
Anteneh A. Gebremariam, Mainak Chowdhury, Andrea J. Goldsmith, Fabrizio Granelli
Resource pooling via dynamic spectrum-level slicing across heterogeneous networks. CCNC (2017)
Juan M. Romero-Jerez, F. Javier López-Martínez, José F. Paris, Andrea J. Goldsmith
The Fluctuating Two-Ray Fading Model: Statistical Characterization and Performance Analysis. IEEE Trans. Wirel. Commun. 16 (7) (2017)
Mainak Chowdhury, Alexandros Manolakos, Andrea J. Goldsmith
Multiplexing and Diversity Gains in Noncoherent Massive MIMO Systems. IEEE Trans. Wirel. Commun. 16 (1) (2017)
Anteneh A. Gebremariam, Mainak Chowdhury, Andrea J. Goldsmith, Fabrizio Granelli
An OpenAirlnterface based implementation of dynamic spectrum-level slicing across heterogeneous networks. CCNC (2017)
Nariman Farsad, Huseyin Birkan Yilmaz, Chan-Byoung Chae, Andrea J. Goldsmith
Energy model for vesicle-based active transport molecular communication. ICC (2016)
Yuxin Chen, Changho Suh, Andrea J. Goldsmith
Information Recovery From Pairwise Measurements. IEEE Trans. Inf. Theory 62 (10) (2016)
Ruiyang Song, Stefano Rini, Alon Kipnis, Andrea J. Goldsmith
Optimal rate allocation in multiterminal compress-and-estimate source coding. ITW (2016)
Yonathan Murin, Nariman Farsad, Mainak Chowdhury, Andrea J. Goldsmith
Communication over Diffusion-Based Molecular Timing Channels. GLOBECOM (2016)
Yonathan Murin, Jeremy Kim, Andrea J. Goldsmith
Tracking epileptic seizure activity via information theoretic graphs. ACSSC (2016)
Juan M. Romero-Jerez, F. Javier López-Martínez, José F. Paris, Andrea J. Goldsmith
The Fluctuating Two-Ray Fading Model: Statistical Characterization and Performance Analysis. CoRR (2016)
Nariman Farsad, Yonathan Murin, Weisi Guo, Chan-Byoung Chae, Andrew W. Eckford, Andrea J. Goldsmith
On the Impact of Time-Synchronization in Molecular Timing Channels. CoRR (2016)

Andrea J. Goldsmith.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Andrea J. Goldsmith