research
∙
09/05/2023
Personalized Federated Deep Reinforcement Learning-based Trajectory Optimization for Multi-UAV Assisted Edge Computing
In the era of 5G mobile communication, there has been a significant surg...
share
research
∙
07/17/2023
Age of Information in Locally Adaptive Frame Slotted ALOHA
We consider a random access network consisting of source-destination pai...
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
∙
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
∙
03/19/2023
Hierarchical Personalized Federated Learning Over Massive Mobile Edge Computing Networks
Personalized Federated Learning (PFL) is a new Federated Learning (FL) p...
research
∙
03/07/2023
Age of Information Under Frame Slotted ALOHA-Based Status Updating Protocol
We propose a frame slotted ALOHA (FSA)-based protocol for a random acces...
research
∙
02/24/2023
Personalizing Federated Learning with Over-the-Air Computations
Federated edge learning is a promising technology to deploy intelligence...
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
∙
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
∙
02/17/2022
Federated Stochastic Gradient Descent Begets Self-Induced Momentum
Federated learning (FL) is an emerging machine learning method that can ...
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
∙
08/04/2021
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
∙
06/13/2021
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
∙
04/13/2021
Optimizing the Long-Term Average Reward for Continuing MDPs: A Technical Report
Recently, we have struck the balance between the information freshness, ...
research
∙
01/04/2021
Optimizing Age of Information in Random-Access Poisson Networks
Timeliness is an emerging requirement for many Internet of Things (IoT) ...
research
∙
12/23/2020
Understanding Age of Information in Large-Scale Wireless Networks
The notion of age-of-information (AoI) is investigated in the context of...
research
∙
10/12/2020
Throughput Analysis of Small Cell Networks under D-TDD and FFR
Dynamic time-division duplex (D-TDD) has emerged as an effective solutio...
research
∙
08/18/2020
Age of Information in Random Access Networks: A Spatiotemporal Study
We investigate the age-of-information (AoI) in the context of random acc...
research
∙
07/21/2020
A Unified Framework for SINR Analysis in Poisson Networks with Traffic Dynamics
We study the performance of wireless links for a class of Poisson networ...
research
∙
07/05/2020
Multi-Armed Bandit Based Client Scheduling for Federated Learning
By exploiting the computing power and local data of distributed clients,...
research
∙
05/15/2020
Performance Analysis for Multi-Antenna Small Cell Networks with Clustered Dynamic TDD
Small cell networks with dynamic time-division duplex (D-TDD) have emerg...
research
∙
03/01/2020
AoI and Energy Consumption Oriented Dynamic Status Updating in Caching Enabled IoT Networks
Caching has been regarded as a promising technique to alleviate energy c...
research
∙
02/19/2020
Optimizing Information Freshness in Wireless Networks: A Stochastic Geometry Approach
Optimization of information freshness in wireless networks has usually b...
research
∙
11/01/2019
Federated Learning with Differential Privacy: Algorithms and Performance Analysis
In this paper, to effectively prevent information leakage, we propose a ...
research
∙
11/01/2019
Performance Analysis on Federated Learning with Differential Privacy
In this paper, to effectively prevent the differential attack, we propos...
research
∙
10/31/2019
Age-Based Scheduling Policy for Federated Learning in Mobile Edge Networks
Federated learning (FL) is a machine learning model that preserves data ...
research
∙
10/12/2019
Optimizing Information Freshness in Computing enabled IoT Networks
Internet of Things (IoT) has emerged as one of the key features of the n...
research
∙
08/17/2019
Scheduling Policies for Federated Learning in Wireless Networks
Motivated by the increasing computational capacity of wireless user equi...
research
∙
07/23/2019
Locally Adaptive Scheduling Policy for Optimizing Information Freshness in Wireless Networks
Optimization of information freshness in wireless networks has usually b...
research
∙
01/27/2019
On Peak Age of Information in Data Preprocessing enabled IoT Networks
Internet of Things (IoT) has been emerging as one of the use cases perme...
research
∙
12/14/2018
An Incentive-Aware Job Offloading Control Framework for Mobile Edge Computing
This paper considers a scenario in which an access point (AP) is equippe...
research
∙
02/03/2018
Delay Analysis of Random Scheduling and Round Robin in Small Cell Networks
We analyze the delay performance of small cell networks operating under ...
research
∙
01/30/2018
