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09/19/2023
Delay-sensitive Task Offloading in Vehicular Fog Computing-Assisted Platoons
Vehicles in platoons need to process many tasks to support various real-...
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05/05/2023
FedNC: A Secure and Efficient Federated Learning Method Inspired by Network Coding
Federated Learning (FL) is a promising distributed learning mechanism wh...
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04/06/2023
Deep Reinforcement Learning Based Vehicle Selection for Asynchronous Federated Learning Enabled Vehicular Edge Computing
In the traditional vehicular network, computing tasks generated by the v...
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03/31/2023
Unsupervised Anomaly Detection and Localization of Machine Audio: A GAN-based Approach
Automatic detection of machine anomaly remains challenging for machine l...
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03/11/2023
Deep Reinforcement Learning Based Power Allocation for Minimizing AoI and Energy Consumption in MIMO-NOMA IoT Systems
Multi-input multi-out and non-orthogonal multiple access (MIMO-NOMA) int...
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03/11/2023
FedLP: Layer-wise Pruning Mechanism for Communication-Computation Efficient Federated Learning
Federated learning (FL) has prevailed as an efficient and privacy-preser...
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03/04/2023
Age of Information of CSMA/CA Based Wireless Networks
We consider a wireless network where N nodes compete for a shared channe...
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02/19/2023
Energy Consumption Minimization in Secure Multi-antenna UAV-assisted MEC Networks with Channel Uncertainty
This paper investigates the robust and secure task transmission and comp...
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11/16/2022
How Far Are Wireless Networks from Being Truly Deterministic?
With the rapid development of Internet-of-Things (IoT) technology and ma...
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10/24/2022
EXK-SC: A Semantic Communication Model Based on Information Framework Expansion and Knowledge Collision
Semantic communication is not focused on improving the accuracy of trans...
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10/05/2022
ISFL: Trustworthy Federated Learning for Non-i.i.d. Data with Local Importance Sampling
As a promising integrated computation and communication learning paradig...
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08/03/2022
High stable and accurate vehicle selection scheme based on federated edge learning in vehicular networks
Federated edge learning (FEEL) technology for vehicular networks is cons...
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08/02/2022
Towards V2I Age-aware Fairness Access: A DQN Based Intelligent Vehicular Node Training and Test Method
Vehicles on the road exchange data with base station (BS) frequently thr...
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08/02/2022
Mobility-Aware Cooperative Caching in Vehicular Edge Computing Based on Asynchronous Federated and Deep Reinforcement Learning
The vehicular edge computing (VEC) can cache contents in different RSUs ...
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04/11/2022
Why Shape Coding? Asymptotic Analysis of the Entropy Rate for Digital Images
This paper focuses on the ultimate limit theory of image compression. It...
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03/25/2022
From MIM-Based GAN to Anomaly Detection:Event Probability Influence on Generative Adversarial Networks
In order to introduce deep learning technologies into anomaly detection,...
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12/02/2021
How global observation works in Federated Learning: Integrating vertical training into Horizontal Federated Learning
Federated learning (FL) has recently emerged as a transformative paradig...
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08/09/2021
Velocity-adaptive Access Scheme for MEC-assisted Platooning Networks: Access Fairness Via Data Freshness
Platooning strategy is an important part of autonomous driving technolog...
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07/30/2021
Decentralized Power Allocation for MIMO-NOMA Vehicular Edge Computing Based on Deep Reinforcement Learning
Vehicular edge computing (VEC) is envisioned as a promising approach to ...
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04/30/2021
Convergence Analysis and System Design for Federated Learning over Wireless Networks
Federated learning (FL) has recently emerged as an important and promisi...
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01/02/2021
New-Type Hoeffding's Inequalities and Application in Tail Bounds
It is well known that Hoeffding's inequality has a lot of applications i...
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12/28/2020
Federated Multi-Agent Actor-Critic Learning for Age Sensitive Mobile Edge Computing
As an emerging technique, mobile edge computing (MEC) introduces a new p...
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12/11/2020
Soft Compression for Lossless Image Coding
Soft compression is a lossless image compression method, which is commit...
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12/02/2020
Delay Sensitive Task Offloading in the 802.11p Based Vehicular Fog Computing Systems
Vehicular fog computing (VFC) is envisioned as a promising solution to p...
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11/05/2020
Time-dependent Performance Analysis of the 802.11p-based Platooning Communications Under Disturbance
Platooning is a critical technology to realize autonomous driving. Each ...
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05/21/2020
An Importance Aware Weighted Coding Theorem Using Message Importance Measure
There are numerous scenarios in source coding where not only the code le...
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04/29/2020
Intelligent networking with Mobile Edge Computing: Vision and Challenges for Dynamic Network Scheduling
Mobile edge computing (MEC) has been considered as a promising technique...
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03/25/2020
MIM-Based Generative Adversarial Networks and Its Application on Anomaly Detection
In terms of Generative Adversarial Networks (GANs), the information metr...
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02/26/2020
Age-optimal Service and Decision Scheduling in Internet of Things
We consider an Internet of Things (IoT) system in which a sensor observe...
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02/20/2020
Storage Space Allocation Strategy for Digital Data with Message Importance
This paper mainly focuses on the problem of lossy compression storage fr...
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12/28/2019
Energy Harvesting Powered Sensing in IoT: Timeliness Versus Distortion
We consider an Internet-of-Things (IoT) system in which an energy harves...
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10/24/2019
Age-upon-Decisions Minimizing Scheduling in Internet of Things: To be Random or to be Deterministic?
We consider an Internet of Things (IoT) system in which a sensor deliver...
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07/05/2019
Importance of Small Probability Events in Big Data: Information Measures, Applications, and Challenges
In many applications (e.g., anomaly detection and security systems) of s...
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06/12/2019
Towards Big data processing in IoT: Path Planning and Resource Management of UAV Base Stations in Mobile-Edge Computing System
Heavy data load and wide cover range have always been crucial problems f...
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05/05/2019
Towards Big data processing in IoT: network management for online edge data processing
Heavy data load and wide cover range have always been crucial problems f...
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03/09/2019
Machine Learning Based Prediction and Classification of Computational Jobs in Cloud Computing Centers
With the rapid growth of the data volume and the fast increasing of the ...
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02/15/2019
Fog-Assisted Multi-User SWIPT Networks: Local Computing or Offloading
This paper investigates a fog computing-assisted multi-user simultaneous...
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01/30/2019
Matching Users' Preference Under Target Revenue Constraints in Optimal Data Recommendation Systems
This paper focuses on the problem of finding a particular data recommend...
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01/26/2019
Optimal Online Transmission Policy in Wireless Powered Networks with Urgency-aware Age of Information
This paper investigates the age of information (AoI) for a radio frequen...
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01/25/2019
Optimal Design of SWIPT-Aware Fog Computing Networks
This paper studies a simultaneous wireless information and power transfe...
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01/04/2019
Information Measure Similarity Theory: Message Importance Measure via Shannon Entropy
Rare events attract more attention and interests in many scenarios of bi...
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08/08/2018
Age of Information Upon Decisions
We consider an M/M/1 update-and-decide system where Poisson distributed ...
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07/19/2018
A Swarming Approach to Optimize the One-hop Delay in Smart Driving Inter-platoon Communications
In this paper, we propose a swarming approach and optimize the one-hop d...
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07/16/2018
Minor probability events detection in big data: An integrated approach with Bayesian testing and MIM
The minor probability events detection is a crucial problem in Big data....
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03/26/2018
A Switch to the Concern of User: Importance Coefficient in Utility Distribution and Message Importance Measure
This paper mainly focuses on the utilization frequency in receiving end ...
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01/22/2018
Differential Message Importance Measure: A New Approach to the Required Sampling Number in Big Data Structure Characterization
Data collection is a fundamental problem in the scenario of big data, wh...
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01/12/2018
State Variation Mining: On Information Divergence with Message Importance in Big Data
Information transfer which reveals the state variation of variables can ...
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01/12/2018
How Many Samples Required in Big Data Collection: A Differential Message Importance Measure
Information collection is a fundamental problem in big data, where the s...
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12/14/2017
Age of Information in Two-way Updating Systems Using Wireless Power Transfer
We consider a two-way updating system with a master node and a slave nod...
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12/14/2017