The optimal implementation of federated learning (FL) in practical edge
...
Most existing studies on massive grant-free access, proposed to support
...
Multi-phase liver contrast-enhanced computed tomography (CECT) images co...
Massive access has been challenging for the fifth generation (5G) and be...
Empirical robustness evaluation (RE) of deep learning models against
adv...
In this paper, we consider the service caching and the computing resourc...
Empirical evaluation of deep learning models against adversarial attacks...
In this paper we study the computation of the nonparametric maximum
like...
Gradient coding schemes effectively mitigate full stragglers in distribu...
The analysis and optimization of single intelligent reflecting surface
(...
Point cloud completion referring to completing 3D shapes from partial 3D...
Immersive video, such as virtual reality (VR) and multi-view videos, is
...
Immersive video, such as virtual reality (VR) and multi-view videos, is
...
Device activity detection and channel estimation for massive grant-free
...
Existing works on grant-free access, proposed to support massive machine...
The optimal design of federated learning (FL) algorithms for solving gen...
Optimal algorithm design for federated learning (FL) remains an open pro...
Existing gradient coding schemes introduce identical redundancy across t...
The impacts of channel estimation errors, inter-cell interference, phase...
The impacts of channel estimation errors, inter-cell interference, phase...
Most existing random access schemes for MTC simply adopt a uniform pream...
This paper investigates adaptive streaming of one or multiple tiled 360
...
Device activity detection is one main challenge in grant-free massive ac...
In this paper, we study the optimal transmission of a multi-quality tile...
Due to the resource consumption for transmitting massive data and the co...
In this paper, we investigate unconstrained and constrained sample-based...
Siamese network based trackers formulate the visual tracking task as a
s...
In this paper, we would like to investigate optimal wireless streaming o...
In this paper, we investigate wireless streaming of multi-quality tiled ...
In this paper, we investigate jointly sparse signal recovery and jointly...
Novelty detection is a important research area which mainly solves the
c...
As software may be used by multiple users, caching popular software at t...
In this paper, a data-driven approach is proposed to jointly design the
...
Rate splitting (RS) is a potentially powerful and flexible technique for...
In this paper, utilizing techniques in compressed sensing, parallel
opti...
Device activity detection is one main challenge in grant-free random acc...
In this paper, we study an intelligent reflecting surface (IRS)-assisted...
In this paper, the scheduling of downlink file transmission in one cell ...
In this paper, we would like to investigate fundamental impacts of multi...
In this letter, we study the transmission of a multi-view video (MVV) to...
By decomposing the visual tracking task into two subproblems as
classifi...
Projections of future temperature are critical for developing sound
stra...
Sparse support recovery arises in many applications in communications an...
This paper has two main goals: (a) establish several statistical
propert...
Grant-free massive access is an important technique for supporting massi...
Intelligent reflecting surface (IRS) is envisioned to be a promising sol...
One key challenge for solving a general stochastic optimization problem ...
Recent exploration of optimal individualized decision rules (IDRs) for
p...
The non-negative matrix factorization (NMF) model with an additional
ort...
Existing methods for robust multigroup multicast beamforming obtain feas...