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02/19/2023
Magnitude Matters: Fixing SIGNSGD Through Magnitude-Aware Sparsification in the Presence of Data Heterogeneity
Communication overhead has become one of the major bottlenecks in the di...
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08/19/2022
Graph Neural Network Based Node Deployment for Throughput Enhancement
The recent rapid growth in mobile data traffic entails a pressing demand...
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07/10/2022
Multi-UAV Collaborative Sensing and Communication: Joint Task Allocation and Power Optimization
Compared to a single UAV with limited sensing coverage and communication...
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02/06/2021
Spectral Graph Theory Based Resource Allocation for IRS-Assisted Multi-Hop Edge Computing
The performance of mobile edge computing (MEC) depends critically on the...
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04/15/2020
On the Design of Communication Efficient Federated Learning over Wireless Networks
Recently, federated learning (FL), as a promising distributed machine le...
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02/25/2020
Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees
Federated learning (FL) has emerged as a prominent distributed learning ...
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09/26/2019
Dynamic Interference Management for UAV-Assisted Wireless Networks
The deployment of unmanned aerial vehicles (UAVs) is proliferating as th...
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04/16/2019
Interference Avoidance in UAV-Assisted Networks: Joint 3D Trajectory Design and Power Allocation
The use of the unmanned aerial vehicle (UAV) has been foreseen as a prom...
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02/27/2019
Distributed Byzantine Tolerant Stochastic Gradient Descent in the Era of Big Data
The recent advances in sensor technologies and smart devices enable the ...
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01/09/2019
Dynamic Mobility-Aware Interference Avoidance for Aerial Base Stations in Cognitive Radio Networks
Aerial base station (ABS) is a promising solution for public safety as i...
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09/08/2018
