To protect users' right to be forgotten in federated learning, federated...
We study deregulated power markets with strategic power suppliers. In
de...
With the rapid growth in the demand for plug-in electric vehicles (EVs),...
We study the problem of exact community recovery in the Geometric Stocha...
Generalization performance is a key metric in evaluating machine learnin...
Multi-agent applications have recently gained significant popularity. In...
Multi-agent patrolling is a key problem in a variety of domains such as
...
The proliferation of real-time applications has motivated extensive rese...
In this paper, we study a large-scale multi-agent minimax optimization
p...
Federated learning enables machine learning algorithms to be trained ove...
In many intelligent systems, a network of agents collaboratively perceiv...
It can be profitable for vehicle service providers to set service prices...
The proliferation of real-time applications has spurred much interest in...
Most mobile network operators generate revenues by directly charging use...
As demand for electric vehicles (EVs) is expanding, meeting the need for...
Vehicle service providers can display commercial ads in their vehicles b...
It is well-known that demand response can improve the system efficiency ...
This paper studies joint spectrum allocation and user association in lar...