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08/06/2023
CGBA: Curvature-aware Geometric Black-box Attack
Decision-based black-box attacks often necessitate a large number of que...
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08/03/2023
Hierarchical Federated Learning in Wireless Networks: Pruning Tackles Bandwidth Scarcity and System Heterogeneity
While a practical wireless network has many tiers where end users do not...
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07/28/2023
DISCO: Achieving Low Latency and High Reliability in Scheduling of Graph-Structured Tasks over Mobile Vehicular Cloud
To effectively process data across a fleet of dynamic and distributed ve...
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07/03/2023
GA-DRL: Graph Neural Network-Augmented Deep Reinforcement Learning for DAG Task Scheduling over Dynamic Vehicular Clouds
Vehicular clouds (VCs) are modern platforms for processing of computatio...
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05/22/2023
Distributed Learning over Networks with Graph-Attention-Based Personalization
In conventional distributed learning over a network, multiple agents col...
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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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02/19/2023
On the f-Differential Privacy Guarantees of Discrete-Valued Mechanisms
We consider a federated data analytics problem in which a server coordin...
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12/08/2022
Graph Neural Networks Meet Wireless Communications: Motivation, Applications, and Future Directions
As an efficient graph analytical tool, graph neural networks (GNNs) have...
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11/24/2022
Multi-Job Intelligent Scheduling with Cross-Device Federated Learning
Recent years have witnessed a large amount of decentralized data in vari...
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10/27/2022
Resource Constrained Vehicular Edge Federated Learning with Highly Mobile Connected Vehicles
This paper proposes a vehicular edge federated learning (VEFL) solution,...
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08/26/2022
RFID: Towards Low Latency and Reliable DAG Task Scheduling over Dynamic Vehicular Clouds
Vehicular cloud (VC) platforms integrate heterogeneous and distributed r...
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08/15/2022
Privacy-Preserving Decentralized Inference with Graph Neural Networks in Wireless Networks
As an efficient neural network model for graph data, graph neural networ...
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06/08/2022
Gradient Obfuscation Gives a False Sense of Security in Federated Learning
Federated learning has been proposed as a privacy-preserving machine lea...
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05/17/2022
Mobility, Communication and Computation Aware Federated Learning for Internet of Vehicles
While privacy concerns entice connected and automated vehicles to incorp...
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04/25/2022
FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server
Despite achieving remarkable performance, Federated Learning (FL) suffer...
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02/15/2022
Efficient Content Delivery in Cache-Enabled VEN with Deadline-Constrained Heterogeneous Demands: A User-Centric Approach
Modern connected vehicles (CVs) frequently require diverse types of cont...
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12/11/2021
Efficient Device Scheduling with Multi-Job Federated Learning
Recent years have witnessed a large amount of decentralized data in mult...
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10/07/2021
Neural Tangent Kernel Empowered Federated Learning
Federated learning (FL) is a privacy-preserving paradigm where multiple ...
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10/06/2021
Federated Learning via Plurality Vote
Federated learning allows collaborative workers to solve a machine learn...
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08/02/2021
Communication-Efficient Federated Learning via Predictive Coding
Federated learning can enable remote workers to collaboratively train a ...
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07/24/2021
Adversarial training may be a double-edged sword
Adversarial training has been shown as an effective approach to improve ...
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04/19/2021
Decentralized Inference with Graph Neural Networks in Wireless Communication Systems
Graph neural network (GNN) is an efficient neural network model for grap...
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03/26/2021
Modeling the Nonsmoothness of Modern Neural Networks
Modern neural networks have been successful in many regression-based tas...
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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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10/26/2020
Application of Deep Learning to Sphere Decoding for Large MIMO Systems
Although the sphere decoder (SD) is a powerful detector for multiple-inp...
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10/19/2020
Hybrid Beamforming and Adaptive RF Chain Activation for Uplink Cell-Free Millimeter-Wave Massive MIMO Systems
In this work, we investigate hybrid analog–digital beamforming (HBF) arc...
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09/29/2020
Distributed ADMM with Synergetic Communication and Computation
In this paper, we propose a novel distributed alternating direction meth...
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09/29/2020
A Fast Graph Neural Network-Based Method for Winner Determination in Multi-Unit Combinatorial Auctions
The combinatorial auction (CA) is an efficient mechanism for resource al...
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07/18/2020
Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks
One of the popular methods for distributed machine learning (ML) is fede...
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06/07/2020
From Federated Learning to Fog Learning: Towards Large-Scale Distributed Machine Learning in Heterogeneous Wireless Networks
Contemporary network architectures are pushing computing tasks from 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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04/04/2020
Energy-aware Allocation of Graph Jobs in Vehicular Cloud Computing-enabled Software-defined IoV
Software-defined internet of vehicles (SDIoV) has emerged as a promising...
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03/27/2020
A Truthful Auction for Graph Job Allocation in Vehicular Cloud-assisted Networks
Vehicular cloud computing has emerged as a promising solution to fulfill...
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03/13/2020
GeoDA: a geometric framework for black-box adversarial attacks
Adversarial examples are known as carefully perturbed images fooling ima...
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03/03/2020
Accelerating Generalized Benders Decomposition for Wireless Resource Allocation
Generalized Benders decomposition (GBD) is a globally optimal algorithm ...
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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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02/17/2020
Precoder Design for mmWave UAV Communications with Physical Layer Security
The integration of unmanned aerial vehicles (UAVs) into the terrestrial ...
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01/14/2020
Physical Layer Security for NOMA Transmission in mmWave Drone Networks
The non-orthogonal multiple access (NOMA) and millimeter-wave (mmWave) t...
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12/12/2019
Multi-Task Offloading over Vehicular Clouds under Graph-based Representation
Vehicular cloud computing has emerged as a promising paradigm for realiz...
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10/01/2019
Low-Resolution Limited-Feedback NOMA for mmWave Communications
The spectrum-efficient millimeter-wave (mmWave) communications has recen...
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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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07/02/2019
Interference Avoidance Position Planning in Dual-hop and Multi-hop UAV Relay Networks
We consider unmanned aerial vehicle (UAV)-assisted wireless communicatio...
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05/18/2019
Quantifying Differential Privacy of Gossip Protocols in General Networks
In this work, we generalize the study of quantifying the differential pr...
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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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03/21/2019
Prevention and Mitigation of Catastrophic Failures in Demand-Supply Interdependent Networks
We propose a generic system model for a special category of interdepende...
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03/11/2019
Optimal Time Allocation in VANETs Advertising: A Price-based Approach using Stackelberg Game
Vehicular ad-hoc networks (VANETs) have recently attracted a lot of atte...
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03/07/2019
Allocation of Computation-Intensive Graph Jobs over Vehicular Clouds
Recent years have witnessed dramatic growth in smart vehicles and comput...
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03/04/2019
Interference Avoidance Position Planning in UAV-assisted Wireless Communication
We consider unmanned aerial vehicle (UAV)-assisted wireless communicatio...
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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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02/12/2019