In this paper, the analysis of excess distortion exponent for joint
sour...
Copyright protection of the Federated Learning (FL) model has become a m...
Federated learning (FL) allows multiple participants to collaboratively ...
This paper considers the massive random access problem in MIMO quasi-sta...
In learning-based semantic communications, neural networks have replaced...
Existing deep learning-enabled semantic communication systems often rely...
A new source model, which consists of an intrinsic state part and an
ext...
This paper studies differential privacy (DP) and local
differential priv...
Conservative mechanism is a desirable property in decision-making proble...
Caching is a technique to reduce the communication load in peak hours by...
Although Shannon theory states that it is asymptotically optimal to sepa...
Caching is a commonly used technique in content-delivery networks which ...
Domain adaptation aims to leverage the supervision signal of source doma...
In a secure coded caching system, a central server balances the traffic ...
In this paper, we investigate the geometric structure of activation spac...
The problem of multilevel diversity coding with secure regeneration is
r...
The problem of multilevel diversity coding with secure regeneration (MDC...