Peer-reviewedCC BYSensors (Basel, Switzerland)
FedCareX: Trust-Aware Federated Transformer for Wearable IoT Seizure Prediction
4 affiliations
- 1Department of Computer Science, University of Southern Punjab, Multan 59060, Pakistan;
- 2Department of Data Science and Artificial Intelligence, , Rahim Yar Khan 64200, Pakistan;
- 3Department of Computer Engineering, Faculty of Engineering and Natural Sciences, , Istanbul 34408, Turkey
- 4Department of Computer Engineering, , Seongnam-si 13120, Republic of Korea
Related
- MULTIMODAL EEG WORLD MODEL: SELF-SUPERVISED LATENT TRANSITION LEARNING FOR WEARABLE EEG SEIZURE DETECTION
- Fed-SecureCvT: optimized federated learning with cryptographic protection and transformer-based intrusion detection for HER
- A lightweight privacy-aware federated vision transformer for tomato leaf disease classification
- Federated knowledge-guided 3D Transformer learning for bone tumor segmentation from partially annotated computed tomography data
- Learning from Adaptive Oscillatory Modes: An Interpretable Synchrosqueezing Transformer for Patient-Independent Seizure Detection
BibTeX
@article{ali2026fedcarex,
title = {{FedCareX: Trust-Aware Federated Transformer for Wearable IoT Seizure Prediction}},
author = {Fahad Ali and Muhammad Shadab Alam Hashmi and Muhammad Ismail Mohmand and Syed Rizwan Hassan},
journal = {Sensors (Basel, Switzerland)},
year = {2026},
month = sep,
url = {https://europepmc.org/article/PMC/PMC13667505},
note = {CC BY},
}
RIS
TY - JOUR
TI - FedCareX: Trust-Aware Federated Transformer for Wearable IoT Seizure Prediction
AU - Fahad Ali
AU - Muhammad Shadab Alam Hashmi
AU - Muhammad Ismail Mohmand
AU - Syed Rizwan Hassan
PY - 2026
DA - 2026/09/28
JO - Sensors (Basel, Switzerland)
UR - https://europepmc.org/article/PMC/PMC13667505
SN - 1424-8220
ER -