Xuebin Ren

Orcid: 0000-0002-6498-0250

According to our database1, Xuebin Ren authored at least 39 papers between 2013 and 2024.

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Bibliography

2024
Multi-Stage Asynchronous Federated Learning With Adaptive Differential Privacy.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

FtlSPG: A Federated Transfer Learning Framework for Personalized Safety Protective Gear Detection in Electric Power Industry.
IEEE Internet Things J., February, 2024

FedLED: Label-Free Equipment Fault Diagnosis With Vertical Federated Transfer Learning.
IEEE Trans. Instrum. Meas., 2024

2023
WaterEdge: Edge-Cloud Collaborative Intelligent Coagulation System for Group-Level Water Treatment Plants.
IEEE Syst. J., December, 2023

Federated multi-objective reinforcement learning.
Inf. Sci., May, 2023

MPDM: A Multi-Paradigm Deployment Model for Large-Scale Edge-Cloud Intelligence.
IEEE Internet Things J., May, 2023

RTCoInfer: Real-Time Collaborative CNN Inference for Stream Analytics on Ubiquitous Images.
IEEE J. Sel. Areas Commun., April, 2023

ECCVideo: A Scalable Edge Cloud Collaborative Video Analysis System.
IEEE Intell. Syst., 2023

FedLED: Label-Free Equipment Fault Diagnosis with Vertical Federated Transfer Learning.
CoRR, 2023

Exploring the Benefits of Visual Prompting in Differential Privacy.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Locally Private High-Dimensional Crowdsourced Data Release Based on Copula Functions.
IEEE Trans. Serv. Comput., 2022

Towards Efficient and Stable K-Asynchronous Federated Learning With Unbounded Stale Gradients on Non-IID Data.
IEEE Trans. Parallel Distributed Syst., 2022

IndustEdge: A Time-Sensitive Networking Enabled Edge-Cloud Collaborative Intelligent Platform for Smart Industry.
IEEE Trans. Ind. Informatics, 2022

PCFed: Privacy-Enhanced and Communication-Efficient Federated Learning for Industrial IoTs.
IEEE Trans. Ind. Informatics, 2022

Exploration Across Small Silos: Federated Few-Shot Learning on Network Edge.
IEEE Netw., 2022

LDP-IDS: Local Differential Privacy for Infinite Data Streams.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

2021
MPCSM: Microservice Placement for Edge-Cloud Collaborative Smart Manufacturing.
IEEE Trans. Ind. Informatics, 2021

Latent Dirichlet Allocation Model Training With Differential Privacy.
IEEE Trans. Inf. Forensics Secur., 2021

Survey on Improving Data Utility in Differentially Private Sequential Data Publishing.
IEEE Trans. Big Data, 2021

DPCrowd: Privacy-Preserving and Communication-Efficient Decentralized Statistical Estimation for Real-Time Crowdsourced Data.
IEEE Internet Things J., 2021

Local Differential Privacy for data collection and analysis.
Neurocomputing, 2021

p-Power Exponential Mechanisms for Differentially Private Machine Learning.
IEEE Access, 2021

2020
DPCrowd: Privacy-preserving and Communication-efficient Decentralized Statistical Estimation for Real-time Crowd-sourced Data.
CoRR, 2020

OL4EL: Online Learning for Edge-Cloud Collaborative Learning on Heterogeneous Edges with Resource Constraints.
IEEE Commun. Mag., 2020

2019
Impact of Prior Knowledge and Data Correlation on Privacy Leakage: A Unified Analysis.
IEEE Trans. Inf. Forensics Secur., 2019

Asynchronous Federated Learning with Differential Privacy for Edge Intelligence.
CoRR, 2019

Reviewing and Improving the Gaussian Mechanism for Differential Privacy.
CoRR, 2019

Locally Differentially Private Data Collection and Analysis.
CoRR, 2019

Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas.
CoRR, 2019

Differentially Private Event Sequences over Infinite Streams with Relaxed Privacy Guarantee.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2019

Adaptive Differentially Private Data Stream Publishing in Spatio-temporal Monitoring of IoT.
Proceedings of the 38th IEEE International Performance Computing and Communications Conference, 2019

On Privacy Protection of Latent Dirichlet Allocation Model Training.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
LoPub: High-Dimensional Crowdsourced Data Publication With Local Differential Privacy.
IEEE Trans. Inf. Forensics Secur., 2018

2017
Copula-Based Multi-Dimensional Crowdsourced Data Synthesis and Release with Local Privacy.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016
On Binary Decomposition Based Privacy-Preserving Aggregation Schemes in Real-Time Monitoring Systems.
IEEE Trans. Parallel Distributed Syst., 2016

High-Dimensional Crowdsourced Data Distribution Estimation with Local Privacy.
Proceedings of the 2016 IEEE International Conference on Computer and Information Technology, 2016

2015
A novel temporal perturbation based privacy-preserving scheme for real-time monitoring systems.
Comput. Networks, 2015

2013
On Scaling Perturbation Based Privacy-Preserving Schemes in Smart Metering Systems.
Proceedings of the 22nd International Conference on Computer Communication and Networks, 2013


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