Federated SignalGAN: Privacy-Preserving Collaborative Brain Signal Processing for Enhanced Diagnostic Accuracy

Federated SignalGAN: Privacy-Preserving Collaborative Brain Signal Processing for Enhanced Diagnostic Accuracy

As the demand for enhanced privacy in collaborative brain signal processing intensifies, this research presents a robust federated learning framework. Collaborative signal analysis necessitates data pooling across institutions, emphasizing the critical need for privacy preservation. "Federated...

Full description

Bibliographic Details
Main Authors:	N. Deepa, R. Sumathi
Format:	Article
Language:	English
Published:	Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2025-01-01
Series:	Tehnički Vjesnik
Subjects:	federated learning generative adversarial networks (GANs) privacy-preserving signal processing collaborative brain signal analysis synthetic data generation
Online Access:	https://hrcak.srce.hr/file/475108

Similar Items

Personalized Privacy-Preserving Data Utilization Approach Powered by Distributed-GAN
by: Shuo Wang, et al.
Published: (2024-12-01)

Implicit privacy preservation: a framework based on data generation
by: Yang Qing, et al.
Published: (2022-01-01)

A Hybrid Approach With GAN and DP for Privacy Preservation of IIoT Data
by: Yavuz Selim Hindistan, et al.
Published: (2023-01-01)

Federated Data Augmentation Algorithm for Non-independent and Identical Distributed Data
by: QU Xiang-mou, WU Ying-bo, JIANG Xiao-ling
Published: (2022-12-01)

Protecting Face Privacy via Beautification
by: WANG Tao, ZHANG Yushu, ZHAO Ruoyu, WEN Wenying, ZHU Youwen
Published: (2024-01-01)

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

Privacy-enhanced federated learning scheme based on generative adversarial networks
by: Feng YU, Qingxin LIN, Hui LIN, Xiaoding WANG
Published: (2023-06-01)

Membership inference attack and defense method in federated learning based on GAN
by: Jiale ZHANG, et al.
Published: (2023-05-01)

Membership inference attack and defense method in federated learning based on GAN
by: Jiale ZHANG, et al.
Published: (2023-05-01)

LF3PFL: A Practical Privacy-Preserving Federated Learning Algorithm Based on Local Federalization Scheme
by: Yong Li, et al.
Published: (2024-04-01)

SynSigGAN: Generative Adversarial Networks for Synthetic Biomedical Signal Generation
by: Debapriya Hazra, et al.
Published: (2020-12-01)

FL-ODP: An Optimized Differential Privacy Enabled Privacy Preserving Federated Learning
by: Maria Iqbal, et al.
Published: (2023-01-01)

Privacy-Preserving Federated Learning Using Homomorphic Encryption
by: Jaehyoung Park, et al.
Published: (2022-01-01)

Differentially private sequence generative adversarial networks for data privacy masking
by: Yu ZHANG, et al.
Published: (2020-08-01)

Differentially private sequence generative adversarial networks for data privacy masking
by: ZHANG Yu, LYU Xixiang, ZOU Yucong, LI Yige
Published: (2020-08-01)

Validity Improvement in MolGAN-Based Molecular Generation
by: Jiayi Fan, et al.
Published: (2023-01-01)

Privacy-Preserving Data Aggregation Scheme Based on Federated Learning for IIoT
by: Fan Hongbin, et al.
Published: (2023-01-01)

Federated Learning-Based Privacy-Preserving Data Aggregation Scheme for IIoT
by: Hongbin Fan, et al.
Published: (2023-01-01)

Trading Off Scalability, Privacy, and Performance in Data Synthesis
by: Xiao Ling, et al.
Published: (2024-01-01)

Generating Higher-Fidelity Synthetic Datasets with Privacy Guarantees
by: Aleksei Triastcyn, et al.
Published: (2022-07-01)

Crowdsourced federated learning architecture with personalized privacy preservation
by: Yunfan Xu, et al.
Published: (2024-09-01)

Synthetic Data Generation via Generative Adversarial Networks in Healthcare: A Systematic Review of Image- and Signal-Based Studies
by: Muhammed Halil Akpinar, et al.
Published: (2025-01-01)

FedCDR: Privacy-preserving federated cross-domain recommendation
by: Dengcheng Yan, et al.
Published: (2022-08-01)

Integrated GANs: Semi-Supervised SAR Target Recognition
by: Fei Gao, et al.
Published: (2019-01-01)

Generating Synthetic Health Sensor Data for Privacy-Preserving Wearable Stress Detection
by: Lucas Lange, et al.
Published: (2024-05-01)

HLSNC-GAN: Medical Image Synthesis Using Hinge Loss and Switchable Normalization in CycleGAN
by: Yang Heng, et al.
Published: (2024-01-01)

Privacy-Preserving Unsupervised Domain Adaptation in Federated Setting
by: Lei Song, et al.
Published: (2020-01-01)

Enhancing Alzheimer’s disease classification through split federated learning and GANs for imbalanced datasets
by: G Narayanee Nimeshika, et al.
Published: (2024-11-01)

DHCT-GAN: Improving EEG Signal Quality with a Dual-Branch Hybrid CNN–Transformer Network
by: Yinan Cai, et al.
Published: (2025-01-01)

A Communication-Efficient, Privacy-Preserving Federated Learning Algorithm Based on Two-Stage Gradient Pruning and Differentiated Differential Privacy
by: Yong Li, et al.
Published: (2023-11-01)

Towards Generating Realistic Wrist Pulse Signals Using Enhanced One Dimensional Wasserstein GAN
by: Jiaxing Chang, et al.
Published: (2023-01-01)

Dolphin vocal sound generation via deep WaveGAN
by: Lue Zhang, et al.
Published: (2022-09-01)

Synthetic demand data generation for individual electricity consumers : Generative Adversarial Networks (GANs)
by: Bilgi Yilmaz, et al.
Published: (2022-08-01)

Generating Adversarial Examples in One Shot With Image-to-Image Translation GAN
by: Weijia Zhang
Published: (2019-01-01)

DMSC-GAN: A c-GAN-Based Framework for Super-Resolution Reconstruction of SAR Images
by: Yingying Kong, et al.
Published: (2023-12-01)

ESeismic-GAN: A Generative Model for Seismic Events From Cotopaxi Volcano
by: Felipe Grijalva, et al.
Published: (2021-01-01)

Desensitized Financial Data Generation Based on Generative Adversarial Network and Differential Privacy
by: Fan Zhang, et al.
Published: (2025-02-01)

FedOpt: Towards Communication Efficiency and Privacy Preservation in Federated Learning
by: Muhammad Asad, et al.
Published: (2020-04-01)

Homomorphic Encryption-Based Federated Privacy Preservation for Deep Active Learning
by: Hendra Kurniawan, et al.
Published: (2022-10-01)

Identity preserving face completion with generative adversarial networks
by: Xudong WANG, et al.
Published: (2018-08-01)