FedSW-TSAD: SWGAN-Based Federated Time Series Anomaly Detection

FedSW-TSAD: SWGAN-Based Federated Time Series Anomaly Detection

As distributed sensing technologies evolve, the collection of time series data is becoming increasingly decentralized, which introduces serious challenges for both model training and data privacy protection. In response to this trend, federated time series anomaly detection enables collaborative ana...

Full description

Saved in:

Bibliographic Details
Main Authors:	Xiuxian Zhang, Hongwei Zhao, Weishan Zhang, Shaohua Cao, Haoyun Sun, Baoyu Zhang
Format:	Article
Language:	English
Published:	MDPI AG 2025-06-01
Series:	Sensors
Subjects:	anomaly detection privacy protection federated learning
Online Access:	https://www.mdpi.com/1424-8220/25/13/4014
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

GuardianAI: Privacy-preserving federated anomaly detection with differential privacy
by: Abdulatif Alabdulatif
Published: (2025-07-01)

DP-FedCMRS: Privacy-Preserving Federated Learning Algorithm to Solve Heterogeneous Data
by: Yang Zhang, et al.
Published: (2025-01-01)

Edge-FLGuard: A Federated Learning Framework for Real-Time Anomaly Detection in 5G-Enabled IoT Ecosystems
by: Manuel J. C. S. Reis
Published: (2025-06-01)

FedSVD: Asynchronous Federated Learning With Stale Weight Vector Decomposition
by: Giwon Sur, et al.
Published: (2025-01-01)

FinGraphFL: Financial Graph-Based Federated Learning for Enhanced Credit Card Fraud Detection
by: Zhenyu Xia, et al.
Published: (2025-04-01)

FedQP: Large-Scale Private and Flexible Federated Query Processing
by: Hussain M. J. Almohri, et al.
Published: (2025-01-01)

CLDP-pFedAvg: Safeguarding Client Data Privacy in Personalized Federated Averaging
by: Wenquan Shen, et al.
Published: (2024-11-01)

Asynchronous Real-Time Federated Learning for Anomaly Detection in Microservice Cloud Applications
by: Mahsa Raeiszadeh, et al.
Published: (2025-01-01)

Federated learning for intrusion detection in IoT environments: a privacy-preserving strategy
by: Ansam Khraisat, et al.
Published: (2025-06-01)

FedAV: Federated learning for cyberattack vulnerability and resilience of cooperative driving automation
by: Guanyu Lin, et al.
Published: (2025-12-01)

FedPark: A Federated Learning Crowdsensing Solution for On-Street Parking Availability
by: Afraa Attiah, et al.
Published: (2025-01-01)

Anomaly Detection in Network Traffic via Cross-Domain Federated Graph Representation Learning
by: Yanli Zhao, et al.
Published: (2025-06-01)

A Review of Research on Secure Aggregation for Federated Learning
by: Xing Zhang, et al.
Published: (2025-07-01)

Shuffle Model of Differential Privacy: Numerical Composition for Federated Learning
by: Shaowei Wang, et al.
Published: (2025-02-01)

A Novel Blockchain-Enabled Federated Learning Scheme for IoT Anomaly Detection
by: Van-Doan Nguyen, et al.
Published: (2025-01-01)

FedEasy : Federated learning with ease
by: Majid Kundroo, et al.
Published: (2025-09-01)

Federated meta learning: a review
by: Chuanyao ZHANG, et al.
Published: (2023-03-01)

Randomized Quantization for Privacy in Resource Constrained Machine Learning at-the-Edge and Federated Learning
by: Ce Feng, et al.
Published: (2025-01-01)

FedG2L: a privacy-preserving federated learning scheme base on “G2L” against poisoning attack
by: Mengfan Xu, et al.
Published: (2023-12-01)

Analyzing the vulnerabilities in Split Federated Learning: assessing the robustness against data poisoning attacks
by: Aysha-Thahsin Zahir-Ismail, et al.
Published: (2025-08-01)

A survey on federated learning in crowd intelligence
by: Qiang YANG, et al.
Published: (2022-03-01)

Survey on incentive-driven federated learning: privacy and security
by: CHI Huanhuan, et al.
Published: (2025-06-01)

Incentive scheme for federated learning based on zero-concentrated differential privacy
by: LI Mengqian, et al.
Published: (2025-01-01)

Convergence-Privacy-Fairness Trade-Off in Personalized Federated Learning
by: Xiyu Zhao, et al.
Published: (2025-01-01)

FedHSP: A Robust Federated Learning Framework Coherently Addressing Heterogeneity, Security, and Performance Challenges
by: Divya G. Nair, et al.
Published: (2025-01-01)

Federated Learning for Scalable Anomaly Detection and Pattern Discovery in IoT-Enabled Aquaponics Systems
by: Saghar Shafaati, et al.
Published: (2025-07-01)

Survey of federated learning research
by: Chuanxin ZHOU, et al.
Published: (2021-10-01)

Attacks and countermeasures on federated learning via historical knowledge modeling
by: Songsong Zhang, et al.
Published: (2025-07-01)

BAFL-SVM: A blockchain-assisted federated learning-driven SVM framework for smart agriculture
by: Ruiyao Shen, et al.
Published: (2025-03-01)

A privacy budget adaptive optimization scheme for federated computing power Internet of things
by: MA Wenyu, et al.
Published: (2024-12-01)

End-Edge Collaborative Lightweight Secure Federated Learning for Anomaly Detection of Wireless Industrial Control Systems
by: Chi Xu, et al.
Published: (2024-01-01)

Personalized Federated Learning for Heterogeneous Residential Load Forecasting
by: Xiaodong Qu, et al.
Published: (2023-12-01)

Quantization-based chained privacy-preserving federated learning
by: Ya Liu, et al.
Published: (2025-05-01)

Privacy-enhanced federated learning scheme based on generative adversarial networks
by: Feng YU, et al.
Published: (2023-06-01)

GraphFedAI framework for DDoS attack detection in IoT systems using federated learning and graph based artificial intelligence
by: Mohd Anjum, et al.
Published: (2025-08-01)

Federated learning-based semantic segmentation framework for sustainable development
by: Deepthi Godavarthi, et al.
Published: (2025-06-01)

FedSensor: Federated Learning Framework for Secure Sensor-Based IoT at the Extreme Edge
by: Norisvaldo Ferraz Junior, et al.
Published: (2025-01-01)

CyberDART: A Corporate Federation System for Mitigating Email Threats
by: Szymon Stryczek, et al.
Published: (2024-01-01)

Research review of federated learning algorithms
by: Jianzong WANG, et al.
Published: (2020-11-01)

Model-output-based federated Bayesian optimization
by: Lin Yang, et al.
Published: (2025-07-01)