research
∙
08/29/2023
Sampling for Remote Estimation of an Ornstein-Uhlenbeck Process through Channel with Unknown Delay Statistics
In this paper, we consider sampling an Ornstein-Uhlenbeck (OU) process t...
share
research
∙
08/21/2023
Optimizing Sectorized Wireless Networks: Model, Analysis, and Algorithm
Future wireless networks need to support the increasing demands for high...
research
∙
04/20/2023
Full Exploitation of Limited Memory in Quantum Entanglement Switching
We study the problem of operating a quantum switch with memory constrain...
research
∙
04/17/2023
Incentive Mechanism Design for Unbiased Federated Learning with Randomized Client Participation
Incentive mechanism is crucial for federated learning (FL) when rational...
research
∙
01/07/2023
Network Slicing: Market Mechanism and Competitive Equilibria
Towards addressing spectral scarcity and enhancing resource utilization ...
research
∙
12/20/2022
Robust and Resource-efficient Machine Learning Aided Viewport Prediction in Virtual Reality
360-degree panoramic videos have gained considerable attention in recent...
research
∙
12/02/2022
On the Capacity Region of a Quantum Switch with Entanglement Purification
Quantum switches are envisioned to be an integral component of future en...
research
∙
10/13/2022
Deep Reinforcement Learning-based Rebalancing Policies for Profit Maximization of Relay Nodes in Payment Channel Networks
Payment channel networks (PCNs) are a layer-2 blockchain scalability sol...
research
∙
10/06/2022
A Quantitative Theory of Bottleneck Structures for Data Networks
The conventional view of the congestion control problem in data networks...
research
∙
09/27/2022
An Overview of the Data-Loader Landscape: Comparative Performance Analysis
Dataloaders, in charge of moving data from storage into GPUs while train...
research
∙
08/30/2022
Fundamentals of Clustered Molecular Nanonetworks
We present a comprehensive approach to the modeling, performance analysi...
research
∙
07/16/2022
Sampling of the Wiener Process for Remote Estimation over a Channel with Unknown Delay Statistics
In this paper, we study an online sampling problem of the Wiener process...
research
∙
07/09/2022
Adaptive Graph Spatial-Temporal Transformer Network for Traffic Flow Forecasting
Traffic flow forecasting on graphs has real-world applications in many f...
research
∙
05/24/2022
Optimal Entanglement Distribution using Satellite Based Quantum Networks
Recent technological advancements in satellite based quantum communicati...
research
∙
02/27/2022
Age Optimal Sampling Under Unknown Delay Statistics
This paper revisits the problem of sampling and transmitting status upda...
research
∙
01/03/2022
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels
Graph kernels are historically the most widely-used technique for graph ...
research
∙
12/21/2021
Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling
Federated learning (FL) algorithms usually sample a fraction of clients ...
research
∙
06/11/2021
Federated Learning with Spiking Neural Networks
As neural networks get widespread adoption in resource-constrained embed...
research
∙
03/31/2021
State-Dependent Processing in Payment Channel Networks for Throughput Optimization
Payment channel networks (PCNs) have emerged as a scalability solution f...
research
∙
11/05/2020
Birkhoff's Decomposition Revisited: Sparse Scheduling for High-Speed Circuit Switches
Data centers are increasingly using high-speed circuit switches to cope ...
research
∙
06/13/2020
A Blockchain-based Decentralized Data Sharing Infrastructure for Off-grid Networking
Off-grid networks are recently emerging as a solution to connect the unc...
research
∙
09/26/2019
Model Pruning Enables Efficient Federated Learning on Edge Devices
Federated learning is a recent approach for distributed model training w...
research
∙
01/25/2019
Joint Service Placement and Request Routing in Multi-cell Mobile Edge Computing Networks
The proliferation of innovative mobile services such as augmented realit...
research
∙
01/25/2019
Learning the Optimal Synchronization Rates in Distributed SDN Control Architectures
Since the early development of Software-Defined Network (SDN) technology...
research
∙
01/09/2018
SDN-enabled Tactical Ad Hoc Networks: Extending Programmable Control to the Edge
Modern tactical operations have complex communication and computing requ...
research
∙
12/12/2017
How Better is Distributed SDN? An Analytical Approach
Distributed software-defined networks (SDN), consisting of multiple inte...
research
∙
07/25/2017
