Information bottleneck (IB) is a paradigm to extract information in one
...
We consider a joint sampling and compression system for timely status
up...
The Blahut-Arimoto (BA) algorithm has played a fundamental role in the
n...
Multimodal learning has seen great success mining data features from mul...
In this paper, we propose a new framework named Communication Optimal
Tr...
This paper studies receiver design in single-input multiple-output (SIMO...
Mismatch capacity characterizes the highest information rate for a chann...
Decoding via sequentially guessing the error pattern in a received noisy...
A new source model, which consists of an intrinsic state part and an
ext...
We consider performance enhancement of asymmetrically-clipped optical
or...
This paper investigates the capacity of general multiple-input single-ou...
Decentralized federated learning (DFL) is a powerful framework of distri...
Information transmission over a multiple-input-multiple-output (MIMO) fa...
A rate-distortion problem motivated by the consideration of semantic
inf...
Millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO)
s...
It is well known that for linear Gaussian channels, a nearest neighbor
d...
We investigate design and performance of communications over the bandlim...
Federated learning (FL) provides a communication-efficient approach to s...
A general information transmission model, under independent and identica...
This paper provides new inner and outer bounds on the capacity region of...
The age of information (AoI) has been extensively studied in recent year...
We revisit Shannon's problem of bounding the capacity of bandlimited Gau...