Andrea J. Goldsmith | DeepAI

DeepAI AI Chat

Featured Co-authors

H. Vincent Poor
346 publications
Deniz Gündüz
185 publications
Yonina C. Eldar
157 publications
Yuxin Chen
101 publications
Nir Shlezinger
69 publications
Mert Pilanci
63 publications
Robert Calderbank
51 publications
Elza Erkip
49 publications
Andreas F. Molisch
47 publications
Mary Wootters
33 publications
F. Javier Lopez-Martinez
30 publications

∙ 02/28/2023

Collaborative Mean Estimation over Intermittently Connected Networks with Peer-To-Peer Privacy

This work considers the problem of Distributed Mean Estimation (DME) ove...

0 Rajarshi Saha, et al. ∙

∙ 12/05/2022

Resilient Distributed Optimization for Multi-Agent Cyberphysical Systems

Enhancing resilience in distributed networks in the face of malicious ag...

0 Michal Yemini, et al. ∙

∙ 05/23/2022

Semi-Decentralized Federated Learning with Collaborative Relaying

We present a semi-decentralized federated learning algorithm wherein cli...

8 Michal Yemini, et al. ∙

∙ 05/09/2022

Composite IG/FTR Channel Performance in Wireless Communication Systems

We present a composite wireless fading model encompassing multipath fadi...

0 Maryam Olyaee, et al. ∙

∙ 02/24/2022

Robust Federated Learning with Connectivity Failures: A Semi-Decentralized Framework with Collaborative Relaying

Intermittent client connectivity is one of the major challenges in centr...

10 Michal Yemini, et al. ∙

∙ 02/23/2022

Minimax Optimal Quantization of Linear Models: Information-Theoretic Limits and Efficient Algorithms

We consider the problem of quantizing a linear model learned from measur...

3 Rajarshi Saha, et al. ∙

∙ 10/03/2021

Cloud-Cluster Architecture for Detection in Intermittently Connected Sensor Networks

We consider a centralized detection problem where sensors experience noi...

0 Michal Yemini, et al. ∙

∙ 08/06/2021

Alternative Formulations for the Fluctuating Two-Ray Fading Model

We present two alternative formulations for the distribution of the fluc...

0 Maryam Olyaee, et al. ∙

∙ 03/13/2021

Distributed Learning and Democratic Embeddings: Polynomial-Time Source Coding Schemes Can Achieve Minimax Lower Bounds for Distributed Gradient Descent under Communication Cons

In this work, we consider the distributed optimization setting where inf...

11 Rajarshi Saha, et al. ∙

∙ 01/12/2021

Model-Based Machine Learning for Communications

We present an introduction to model-based machine learning for communica...

0 Nir Shlezinger, et al. ∙

∙ 10/30/2020

Interference Reduction in Virtual Cell Optimization

Virtual cell optimization clusters cells into neighborhoods and performs...

0 Michal Yemini, et al. ∙

∙ 06/05/2020

Inference from Stationary Time Sequences via Learned Factor Graphs

The design of methods for inference from time sequences has traditionall...

0 Nir Shlezinger, et al. ∙

∙ 02/14/2020

Data-Driven Symbol Detection via Model-Based Machine Learning

The design of symbol detectors in digital communication systems has trad...

0 Nariman Farsad, et al. ∙

∙ 01/31/2020

Data-Driven Factor Graphs for Deep Symbol Detection

Many important schemes in signal processing and communications, ranging ...

0 Nir Shlezinger, et al. ∙

∙ 11/22/2019

Compressed Sensing Channel Estimation for OFDM with non-Gaussian Multipath Gains

This paper analyzes the impact of non-Gaussian multipath component (MPC)...

0 Felipe Gómez-Cuba, et al. ∙

∙ 11/22/2019

Capacity scaling in a Non-coherent Wideband Massive SIMO Block Fading Channel

The scaling of coherent and non-coherent channel capacity is studied in ...

0 Felipe Gómez-Cuba, et al. ∙

∙ 11/06/2019

Virtual Cell Clustering with Optimal Resource Allocation to Maximize Capacity

This work proposes a new resource allocation optimization and network ma...

0 Michal Yemini, et al. ∙

∙ 07/25/2019

Deep Neural Network Symbol Detection for Millimeter Wave Communications

This paper proposes to use a deep neural network (DNN)-based symbol dete...

0 Yun Liao, et al. ∙

∙ 05/26/2019

ViterbiNet: A Deep Learning Based Viterbi Algorithm for Symbol Detection

Symbol detection plays an important role in the implementation of digita...

0 Nir Shlezinger, et al. ∙

∙ 05/06/2019

Virtual Cell Clustering with Optimal Resource Allocation to Maximize Cellular System Capacity

This work presents a new network optimization framework for cellular net...

0 Michal Yemini, et al. ∙

∙ 05/06/2019

Optimal Resource Allocation for Cellular Networks with Virtual Cell Joint Decoding

This work presents a new resource allocation optimization framework for ...

0 Michal Yemini, et al. ∙

∙ 01/20/2019

"Fog" Optimization via Virtual Cells in Cellular Network Resource Allocation

This work proposes a new resource allocation optimization framework for ...

0 Michal Yemini, et al. ∙

∙ 12/18/2018

Sparse mmWave OFDM Channel Estimation Using Compressed Sensing in OFDM Systems

This paper proposes and analyzes a mmWave sparse channel estimation tech...

0 Felipe Gómez-Cuba, et al. ∙

∙ 08/01/2018

Orthogonal Time Frequency Space Modulation

This paper introduces a new two-dimensional modulation technique called ...

0 Ronny Hadani, et al. ∙

∙ 02/03/2018

Blind Joint MIMO Channel Estimation and Decoding

We propose a method for MIMO decoding when channel state information (CS...

0 Thomas R. Dean, et al. ∙

∙ 01/20/2018

Analog-to-Digital Compression: A New Paradigm for Converting Signals to Bits

Processing, storing and communicating information that originates as an ...

0 Alon Kipnis, et al. ∙

∙ 04/06/2015

Information Recovery from Pairwise Measurements

This paper is concerned with jointly recovering n node-variables { x_i}_...

0 Yuxin Chen, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world