As a distributed learning, Federated Learning (FL) faces two challenges:...
In recent years, ubiquitous semantic Metaverse has been studied to
revol...
The development of applications based on artificial intelligence and
imp...
The demand for intelligent industries and smart services based on big da...
Location privacy is critical in vehicular networks, where drivers'
traje...
Deep Neural Networks (DNNs) are vulnerable to adversarial examples, whil...
Adversarial attacks and defenses in machine learning and deep neural net...
While preserving the privacy of federated learning (FL), differential pr...
Wireless federated learning (WFL) undergoes a communication bottleneck i...
In the Internet-of-Things (IoT), massive sensitive and confidential
info...
This paper puts forth a new, reconfigurable intelligent surface
(RIS)-as...
Reconfigurable intelligent surfaces (RISs) can potentially combat jammin...
The ongoing amalgamation of UAV and ML techniques is creating a signific...
In recent years, the Internet of Things (IoT) is studied in the context ...
Typical deep neural network (DNN) backdoor attacks are based on triggers...
Obfuscating a dataset by adding random noises to protect the privacy of
...
Over-the-air federated learning (AirFL) allows devices to train a learni...
This paper proposes an effective and novel multiagent deep reinforcement...
The application of intelligent reflecting surface (IRS) depends on the
k...
This paper investigates a new downlink nonorthogonal multiple access (NO...
Federated learning (FL) has been increasingly considered to preserve dat...
This paper proposes to deploy multiple reconfigurable intelligent surfac...
As distributed ledgers, blockchains run consensus protocols which trade
...
This paper presents a novel and effective deep reinforcement learning
(D...
In multicell massive multiple-input multiple-output (MIMO) non-orthogona...
Accurate channel parameter estimation is challenging for wideband
millim...
Aiming to minimize service delay, we propose a new random caching scheme...
In platoon-based vehicular cyber-physical system (PVCPS), a lead vehicle...
Unmanned Aerial Vehicles (UAVs) with Microwave Power Transfer (MPT)
capa...
We develop the optimal economical caching schemes in cache-enabled
heter...
By suppressing repeated content deliveries, wireless caching has the
pot...
Network Function Virtualization (NFV) can cost-efficiently provide netwo...
This paper presents a new approach to efficiently maximizing the energy
...
Ultra-dense networks (UDNs) provide a promising paradigm to cope with
ex...
LTE/WiFi Aggregation (LWA) provides a promising approach to relieve data...
In a vehicular platoon, a lead vehicle that is responsible for managing ...
In this paper, we maximize the energy efficiency (EE) of full-duplex (FD...