To protect users' right to be forgotten in federated learning, federated...
The proliferation of real-time applications has motivated extensive rese...
In this paper, we consider a discrete-time Stackelberg mean field game w...
Cellular vehicle-to-everything (C-V2X) networks are regarded as one of t...
Federated learning enables machine learning algorithms to be trained ove...
Autonomous vehicles (AVs) are attractive for ride service providers (RSP...
In this paper, we consider the notion of α- robust equilibrium for
finit...
It is common in online markets for agents to learn from other's actions....
LTE-U is an extension of the Long Term Evolution (LTE) standard for oper...
Many network resource allocation problems can be viewed as allocating a
...
As demand for electric vehicles (EVs) is expanding, meeting the need for...
The Citizens Broadband Radio Service (CBRS) recently adopted in the U.S....
Generative adversarial networks (GANs) are powerful tools for learning
g...
Unlicensed spectrum has been viewed as a way to increase competition in
...