Privacy-Preserving Data Fusion for Traffic State Estimation: A Vertical Federated Learning Approach
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Qiqing, Yang, Kaidi |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ZTFed-MAS2S: A Zero-Trust Federated Learning Framework with Verifiable Privacy and Trust-Aware Aggregation for Wind Power Data Imputation
by: Li, Yang, et al.
Published: (2025)
by: Li, Yang, et al.
Published: (2025)
Leveraging Functional Encryption and Deep Learning for Privacy-Preserving Traffic Forecasting
by: Adom, Isaac, et al.
Published: (2025)
by: Adom, Isaac, et al.
Published: (2025)
Privacy-Preserving State Estimation in the Presence of Eavesdroppers: A Survey
by: Yan, Xinhao, et al.
Published: (2024)
by: Yan, Xinhao, et al.
Published: (2024)
Localization of Dummy Data Injection Attacks in Power Systems Considering Incomplete Topological Information: A Spatio-Temporal Graph Wavelet Convolutional Neural Network Approach
by: Qu, Zhaoyang, et al.
Published: (2024)
by: Qu, Zhaoyang, et al.
Published: (2024)
Privacy-preserving gradient-based fair federated learning
by: Adamek, Janis, et al.
Published: (2024)
by: Adamek, Janis, et al.
Published: (2024)
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM
by: Xie, Chulin, et al.
Published: (2022)
by: Xie, Chulin, et al.
Published: (2022)
An Adversarial Approach to Evaluating the Robustness of Event Identification Models
by: Bahwal, Obai, et al.
Published: (2024)
by: Bahwal, Obai, et al.
Published: (2024)
Design of Stochastic Quantizers for Privacy Preservation
by: Liu, Le, et al.
Published: (2024)
by: Liu, Le, et al.
Published: (2024)
A Multi-module Robust Method for Transient Stability Assessment against False Label Injection Cyberattacks
by: Wang, Hanxuan, et al.
Published: (2024)
by: Wang, Hanxuan, et al.
Published: (2024)
Random Walk Learning and the Pac-Man Attack
by: Chen, Xingran, et al.
Published: (2025)
by: Chen, Xingran, et al.
Published: (2025)
Privacy-Preserving Distributed Learning for Residential Short-Term Load Forecasting
by: Dong, Yi, et al.
Published: (2024)
by: Dong, Yi, et al.
Published: (2024)
Scalable Learning of Intrusion Responses through Recursive Decomposition
by: Hammar, Kim, et al.
Published: (2023)
by: Hammar, Kim, et al.
Published: (2023)
Efficient Implementation of Reinforcement Learning over Homomorphic Encryption
by: Suh, Jihoon, et al.
Published: (2025)
by: Suh, Jihoon, et al.
Published: (2025)
Preserving Privacy and Security in Federated Learning
by: Nguyen, Truc, et al.
Published: (2022)
by: Nguyen, Truc, et al.
Published: (2022)
ANALYSE -- Learning to Attack Cyber-Physical Energy Systems With Intelligent Agents
by: Wolgast, Thomas, et al.
Published: (2023)
by: Wolgast, Thomas, et al.
Published: (2023)
On Model Protection in Federated Learning against Eavesdropping Attacks
by: Maity, Dipankar, et al.
Published: (2025)
by: Maity, Dipankar, et al.
Published: (2025)
Faithful and Privacy-Preserving Implementation of Average Consensus
by: Teranishi, Kaoru, et al.
Published: (2025)
by: Teranishi, Kaoru, et al.
Published: (2025)
FedWiLoc: Federated Learning for Privacy-Preserving WiFi Indoor Localization
by: Roy, Kanishka, et al.
Published: (2025)
by: Roy, Kanishka, et al.
Published: (2025)
Privacy-Preserving Vertical K-Means Clustering
by: Mazzone, Federico, et al.
Published: (2025)
by: Mazzone, Federico, et al.
Published: (2025)
Amalgam: A Framework for Obfuscated Neural Network Training on the Cloud
by: Taki, Sifat Ut, et al.
Published: (2024)
by: Taki, Sifat Ut, et al.
Published: (2024)
A Kolmogorov-Arnold Network for Interpretable Cyberattack Detection in AGC Systems
by: Jilan, Jehad, et al.
Published: (2025)
by: Jilan, Jehad, et al.
Published: (2025)
A Lightweight Multi-Attack CAN Intrusion Detection System on Hybrid FPGAs
by: Khandelwal, Shashwat, et al.
Published: (2024)
by: Khandelwal, Shashwat, et al.
Published: (2024)
A review of federated learning in renewable energy applications: Potential, challenges, and future directions
by: Grataloup, Albin, et al.
Published: (2023)
by: Grataloup, Albin, et al.
Published: (2023)
Social-Aware Clustered Federated Learning with Customized Privacy Preservation
by: Wang, Yuntao, et al.
Published: (2022)
by: Wang, Yuntao, et al.
Published: (2022)
A Privacy-Preserving Framework for Advertising Personalization Incorporating Federated Learning and Differential Privacy
by: Li, Xiang, et al.
Published: (2025)
by: Li, Xiang, et al.
Published: (2025)
Privacy-Preserving Power Flow Analysis via Secure Multi-Party Computation
by: von der Heyden, Jonas, et al.
Published: (2024)
by: von der Heyden, Jonas, et al.
Published: (2024)
Real-Time Zero-Day Intrusion Detection System for Automotive Controller Area Network on FPGAs
by: Khandelwal, Shashwat, et al.
Published: (2024)
by: Khandelwal, Shashwat, et al.
Published: (2024)
Temporal assessment of malicious behaviors: application to turnout field data monitoring
by: Abdellaoui, Sara, et al.
Published: (2024)
by: Abdellaoui, Sara, et al.
Published: (2024)
Enhancing Network Security Management in Water Systems using FM-based Attack Attribution
by: Avdalovic, Aleksandar, et al.
Published: (2025)
by: Avdalovic, Aleksandar, et al.
Published: (2025)
Neural Network-Based Detection and Multi-Class Classification of FDI Attacks in Smart Grid Home Energy Systems
by: Sen, Varsha, et al.
Published: (2025)
by: Sen, Varsha, et al.
Published: (2025)
Breaking and Fixing Defenses Against Control-Flow Hijacking in Multi-Agent Systems
by: Jha, Rishi, et al.
Published: (2025)
by: Jha, Rishi, et al.
Published: (2025)
Federated Learning for Cross-Domain Data Privacy: A Distributed Approach to Secure Collaboration
by: Zhang, Yiwei, et al.
Published: (2025)
by: Zhang, Yiwei, et al.
Published: (2025)
Immersion and Invariance-based Coding for Privacy-Preserving Federated Learning
by: Hayati, Haleh, et al.
Published: (2024)
by: Hayati, Haleh, et al.
Published: (2024)
FedTDP: A Privacy-Preserving and Unified Framework for Trajectory Data Preparation via Federated Learning
by: Zeng, Zhihao, et al.
Published: (2025)
by: Zeng, Zhihao, et al.
Published: (2025)
Privacy-Preserving Heterogeneous Federated Learning for Sensitive Healthcare Data
by: Xu, Yukai, et al.
Published: (2024)
by: Xu, Yukai, et al.
Published: (2024)
Starlit: Privacy-Preserving Federated Learning to Enhance Financial Fraud Detection
by: Abadi, Aydin, et al.
Published: (2024)
by: Abadi, Aydin, et al.
Published: (2024)
Privacy-Preserving Edge Federated Learning for Intelligent Mobile-Health Systems
by: Aminifar, Amin, et al.
Published: (2024)
by: Aminifar, Amin, et al.
Published: (2024)
Differentially Private High Dimensional Bandits
by: Shukla, Apurv
Published: (2024)
by: Shukla, Apurv
Published: (2024)
HashVFL: Defending Against Data Reconstruction Attacks in Vertical Federated Learning
by: Qiu, Pengyu, et al.
Published: (2022)
by: Qiu, Pengyu, et al.
Published: (2022)
A Lightweight and Secure Deep Learning Model for Privacy-Preserving Federated Learning in Intelligent Enterprises
by: Fotohi, Reza, et al.
Published: (2025)
by: Fotohi, Reza, et al.
Published: (2025)
Similar Items
-
ZTFed-MAS2S: A Zero-Trust Federated Learning Framework with Verifiable Privacy and Trust-Aware Aggregation for Wind Power Data Imputation
by: Li, Yang, et al.
Published: (2025) -
Leveraging Functional Encryption and Deep Learning for Privacy-Preserving Traffic Forecasting
by: Adom, Isaac, et al.
Published: (2025) -
Privacy-Preserving State Estimation in the Presence of Eavesdroppers: A Survey
by: Yan, Xinhao, et al.
Published: (2024) -
Localization of Dummy Data Injection Attacks in Power Systems Considering Incomplete Topological Information: A Spatio-Temporal Graph Wavelet Convolutional Neural Network Approach
by: Qu, Zhaoyang, et al.
Published: (2024) -
Privacy-preserving gradient-based fair federated learning
by: Adamek, Janis, et al.
Published: (2024)