research
∙
08/22/2023
Information Bottleneck Revisited: Posterior Probability Perspective with Optimal Transport
Information bottleneck (IB) is a paradigm to extract information in one ...
share
research
∙
05/05/2023
Joint Design of Sampler and Compressor for Timely Status Updates: Age-Distortion Tradeoff
We consider a joint sampling and compression system for timely status up...
research
∙
05/04/2023
Variations on a Theme by Blahut and Arimoto
The Blahut-Arimoto (BA) algorithm has played a fundamental role in the n...
research
∙
03/27/2023
Unimodal Training-Multimodal Prediction: Cross-modal Federated Learning with Hierarchical Aggregation
Multimodal learning has seen great success mining data features from mul...
research
∙
12/20/2022
A Communication Optimal Transport Approach to the Computation of Rate Distortion Functions
In this paper, we propose a new framework named Communication Optimal Tr...
research
∙
08/18/2022
Linear shrinkage receiver for slow fading channels under imperfect channel state information
This paper studies receiver design in single-input multiple-output (SIMO...
research
∙
08/16/2022
An Optimal Transport Approach to the Computation of the LM Rate
Mismatch capacity characterizes the highest information rate for a chann...
research
∙
02/13/2022
ORBGRAND Is Almost Capacity-Achieving
Decoding via sequentially guessing the error pattern in a received noisy...
research
∙
01/29/2022
An Indirect Rate-Distortion Characterization for Semantic Sources: General Model and the Case of Gaussian Observation
A new source model, which consists of an intrinsic state part and an ext...
research
∙
01/18/2022
Improved Receivers for Optical Wireless OFDM: An Information Theoretic Perspective
We consider performance enhancement of asymmetrically-clipped optical or...
research
∙
11/23/2021
On the Capacity of MISO Optical Intensity Channels With Per-Antenna Intensity Constraints
This paper investigates the capacity of general multiple-input single-ou...
research
∙
07/26/2021
Decentralized Federated Learning: Balancing Communication and Computing Costs
Decentralized federated learning (DFL) is a powerful framework of distri...
research
∙
05/15/2021
Generalized Nearest Neighbor Decoding for MIMO Channels with Imperfect Channel State Information
Information transmission over a multiple-input-multiple-output (MIMO) fa...
research
∙
05/10/2021
A Rate-Distortion Framework for Characterizing Semantic Information
A rate-distortion problem motivated by the consideration of semantic inf...
research
∙
01/25/2021
Blind Diagnosis for Millimeter-wave Massive MIMO Systems
Millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) s...
research
∙
10/14/2020
Generalized Nearest Neighbor Decoding
It is well known that for linear Gaussian channels, a nearest neighbor d...
research
∙
12/24/2019
Bandlimited Communication With One-Bit Quantization and Oversampling: Transceiver Design and Performance Evaluation
We investigate design and performance of communications over the bandlim...
research
∙
10/08/2019
Accelerating Federated Learning via Momentum Gradient Descent
Federated learning (FL) provides a communication-efficient approach to s...
research
∙
06/10/2019
A Regression Approach to Certain Information Transmission Problems
A general information transmission model, under independent and identica...
research
∙
11/04/2018
Bounds on Capacity Region of Optical Intensity Multiple Access Channel
This paper provides new inner and outer bounds on the capacity region of...
research
∙
09/09/2018
Age of Information in Poisson Networks
The age of information (AoI) has been extensively studied in recent year...
research
∙
05/30/2018
