research
∙
09/04/2023
SemProtector: A Unified Framework for Semantic Protection in Deep Learning-based Semantic Communication Systems
Recently proliferated semantic communications (SC) aim at effectively tr...
share
research
∙
08/10/2023
Optimizing Cache Content Placement in Integrated Terrestrial and Non-terrestrial Networks
Non-terrestrial networks (NTN) offer potential for efficient content bro...
research
∙
07/23/2023
QoE-Driven Video Transmission: Energy-Efficient Multi-UAV Network Optimization
This paper is concerned with the issue of improving video subscribers' q...
research
∙
06/17/2023
Edge Intelligence Over the Air: Two Faces of Interference in Federated Learning
Federated edge learning is envisioned as the bedrock of enabling intelli...
research
∙
06/16/2023
Analysis of the Age of Information in Age-Threshold Slotted ALOHA
We investigate the performance of a random access network consisting of ...
research
∙
06/07/2023
Towards Fast Personalized Semi-Supervised Federated Learning in Edge Networks: Algorithm Design and Theoretical Guarantee
Recent years have witnessed a huge demand for artificial intelligence an...
research
∙
04/13/2023
CoMP Transmission in Downlink NOMA-Based Cellular-Connected UAV Networks
In this paper, we study the integration between the coordinated multipoi...
research
∙
04/09/2023
Energy-Efficient URLLC Service Provision via a Near-Space Information Network
The integration of a near-space information network (NSIN) with the reco...
research
∙
03/30/2023
DPP-based Client Selection for Federated Learning with Non-IID Data
This paper proposes a client selection (CS) method to tackle the communi...
research
∙
03/23/2023
Automated Federated Learning in Mobile Edge Networks – Fast Adaptation and Convergence
Federated Learning (FL) can be used in mobile edge networks to train mac...
research
∙
03/19/2023
Hierarchical Personalized Federated Learning Over Massive Mobile Edge Computing Networks
Personalized Federated Learning (PFL) is a new Federated Learning (FL) p...
research
∙
02/24/2023
Personalizing Federated Learning with Over-the-Air Computations
Federated edge learning is a promising technology to deploy intelligence...
research
∙
02/09/2023
Differentially Private Deep Q-Learning for Pattern Privacy Preservation in MEC Offloading
Mobile edge computing (MEC) is a promising paradigm to meet the quality ...
research
∙
02/07/2023
Understanding the Gain of Deploying IRSs in Large-scale Heterogeneous Cellular Networks
As the superior improvement on wireless network coverage, spectrum effic...
research
∙
01/03/2023
Differentially Private Federated Clustering over Non-IID Data
Federated clustering (FedC) is an adaptation of centralized clustering i...
research
∙
12/03/2022
Beyond ADMM: A Unified Client-variance-reduced Adaptive Federated Learning Framework
As a novel distributed learning paradigm, federated learning (FL) faces ...
research
∙
11/27/2022
Coverage Analysis for Cellular-Connected Random 3D Mobile UAVs with Directional Antennas
This letter proposes an analytical framework to evaluate the coverage pe...
research
∙
11/13/2022
Social Welfare Maximization for Collaborative Edge Computing: A Deep Reinforcement Learning-Based Approach
Collaborative Edge Computing (CEC) is an effective method that improves ...
research
∙
11/01/2022
MDC Enhanced IoT Networks: Network Modeling and Performance Analysis
As a promising architecture, Mobile Data Collector (MDC) enhanced Intern...
research
∙
10/29/2022
IRS-Assisted RF-powered IoT Networks:System Modeling and Performance Analysis
Emerged as a promising solution for future wireless communication system...
research
∙
09/28/2022
FIRE: A Failure-Adaptive Reinforcement Learning Framework for Edge Computing Migrations
In edge computing, users' service profiles must be migrated in response ...
research
∙
09/27/2022
Semi-Synchronous Personalized Federated Learning over Mobile Edge Networks
Personalized Federated Learning (PFL) is a new Federated Learning (FL) a...
research
∙
08/14/2022
Joint User Association and Resource Pricing for Metaverse: Distributed and Centralized Approaches
Metaverse as the next-generation Internet provides users with physical-v...
research
∙
07/21/2022
UAV Trajectory, User Association and Power Control for Multi-UAV Enabled Energy Harvesting Communications: Offline Design and Online Reinforcement Learning
In this paper, we consider multiple solar-powered wireless nodes which u...
research
∙
07/02/2022
Analysis of Age of Information in Dual Updating Systems
We study the average Age of Information (AoI) and peak AoI (PAoI) of a d...
research
∙
06/30/2022
Towards Federated Long-Tailed Learning
Data privacy and class imbalance are the norm rather than the exception ...
research
∙
06/12/2022
Age of Information: A Two-Sensor Status Update System Monitoring The Same Process
This work studies the average age of information (AoI) of a monitoring s...
research
∙
04/15/2022
Server Free Wireless Federated Learning: Architecture, Algorithm, and Analysis
We demonstrate that merely analog transmissions and match filtering can ...
research
∙
04/10/2022
FedCorr: Multi-Stage Federated Learning for Label Noise Correction
Federated learning (FL) is a privacy-preserving distributed learning par...
research
∙
03/23/2022
Minimizing Age-upon-Decisions in Bufferless System: Service Scheduling and Decision Interval
In Internet of Things (IoT), the decision timeliness of time-sensitive a...
research
∙
03/19/2022
UAV Trajectory and Beamforming Optimization for Integrated Periodic Sensing and Communication
Unmanned aerial vehicle (UAV) is expected to bring transformative improv...
research
∙
03/02/2022
Towards Effective Resource Procurement in MEC: a Resource Re-selling Framework
On-demand and resource reservation pricing models have been widely used ...
research
∙
02/17/2022
Federated Stochastic Gradient Descent Begets Self-Induced Momentum
Federated learning (FL) is an emerging machine learning method that can ...
research
∙
11/13/2021
Networking of Internet of UAVs: Challenges and Intelligent Approaches
Internet of unmanned aerial vehicle (I-UAV) networks promise to accompli...
research
∙
11/03/2021
Belief Propagation based Joint Detection and Decoding for Resistive Random Access Memories
Despite the great promises that the resistive random access memory (ReRA...
research
∙
10/20/2021
Distributed Reinforcement Learning for Privacy-Preserving Dynamic Edge Caching
Mobile edge computing (MEC) is a prominent computing paradigm which expa...
research
∙
10/15/2021
Optimal Distribution Design for Irregular Repetition Slotted ALOHA with Multi-Packet Reception
Associated with multi-packet reception at the access point, irregular re...
research
∙
09/21/2021
Secrecy Offloading Rate Maximization for Multi-Access Mobile Edge Computing Networks
This letter considers a multi-access mobile edge computing (MEC) network...
research
∙
09/18/2021
Spatiotemporal Analysis for Age of Information in Random Access Networks under Last-Come First-Serve with Replacement Protocol
We investigate the age-of-information (AoI) in the context of random acc...
research
∙
08/20/2021
Mobility-Aware Cluster Federated Learning in Hierarchical Wireless Networks
Implementing federated learning (FL) algorithms in wireless networks has...
research
∙
08/12/2021
Dynamic Attention-based Communication-Efficient Federated Learning
Federated learning (FL) offers a solution to train a global machine lear...
research
∙
08/09/2021
Adaptive Anomaly Detection for Internet of Things in Hierarchical Edge Computing: A Contextual-Bandit Approach
The advances in deep neural networks (DNN) have significantly enhanced r...
research
∙
08/04/2021
When to Preprocess? Keeping Information Fresh for Computing Enable Internet of Things
Age of information (AoI), a notion that measures the information freshne...
research
∙
07/25/2021
Revisiting Analog Over-the-Air Machine Learning: The Blessing and Curse of Interference
We study a distributed machine learning problem carried out by an edge s...
research
∙
06/15/2021
Learning Autonomy in Management of Wireless Random Networks
This paper presents a machine learning strategy that tackles a distribut...
research
∙
06/13/2021
Optimal Status Update for Caching Enabled IoT Networks: A Dueling Deep R-Network Approach
In the Internet of Things (IoT) networks, caching is a promising techniq...
research
∙
06/03/2021
Feeling of Presence Maximization: mmWave-Enabled Virtual Reality Meets Deep Reinforcement Learning
This paper investigates the problem of providing ultra-reliable and ener...
research
∙
05/27/2021
Training Classifiers that are Universally Robust to All Label Noise Levels
For classification tasks, deep neural networks are prone to overfitting ...
research
∙
05/18/2021
Learning-Based Robust Resource allocation for D2D Underlaying Cellular Network
In this paper, we study the resource allocation in D2D underlaying cellu...
research
∙
05/05/2021