In this paper, we consider sampling an Ornstein-Uhlenbeck (OU) process
t...
Future wireless networks need to support the increasing demands for high...
We study the problem of operating a quantum switch with memory constrain...
Incentive mechanism is crucial for federated learning (FL) when rational...
Towards addressing spectral scarcity and enhancing resource utilization ...
360-degree panoramic videos have gained considerable attention in recent...
Quantum switches are envisioned to be an integral component of future
en...
Payment channel networks (PCNs) are a layer-2 blockchain scalability
sol...
The conventional view of the congestion control problem in data networks...
Dataloaders, in charge of moving data from storage into GPUs while train...
We present a comprehensive approach to the modeling, performance analysi...
In this paper, we study an online sampling problem of the Wiener process...
Traffic flow forecasting on graphs has real-world applications in many
f...
Recent technological advancements in satellite based quantum communicati...
This paper revisits the problem of sampling and transmitting status upda...
Graph kernels are historically the most widely-used technique for graph
...
Federated learning (FL) algorithms usually sample a fraction of clients ...
As neural networks get widespread adoption in resource-constrained embed...
Payment channel networks (PCNs) have emerged as a scalability solution f...
Data centers are increasingly using high-speed circuit switches to cope ...
Off-grid networks are recently emerging as a solution to connect the
unc...
Federated learning is a recent approach for distributed model training
w...
The proliferation of innovative mobile services such as augmented realit...
Since the early development of Software-Defined Network (SDN) technology...
Modern tactical operations have complex communication and computing
requ...
Distributed software-defined networks (SDN), consisting of multiple
inte...
A set of economic entities embedded in a network graph collaborate by
op...