Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives
M Duan - arXiv preprint arXiv:2307.02140, 2023 - arxiv.org
Traditional Federated Learning (FL) follows a server-domincated cooperation paradigm
which narrows the application scenarios of FL and decreases the enthusiasm of data …
which narrows the application scenarios of FL and decreases the enthusiasm of data …
Confidence-Based Similarity-Aware Personalized Federated Learning for Autonomous IoT
Federated learning facilitates collaborative model training in the autonomous IoT system
while preserving the privacy of local data on IoT clients. Nonetheless, the inherent non-IID …
while preserving the privacy of local data on IoT clients. Nonetheless, the inherent non-IID …
LRFID-Net: A Local-Region-Based Fake-Iris Detection Network for Fake Iris Images Synthesized by a Generative Adversarial Network
JS Kim, YW Lee, JS Hong, SG Kim, G Batchuluun… - Mathematics, 2023 - mdpi.com
Iris recognition is a biometric method using the pattern of the iris seated between the pupil
and the sclera for recognizing people. It is widely applied in various fields owing to its high …
and the sclera for recognizing people. It is widely applied in various fields owing to its high …
PAFedFV: Personalized and Asynchronous Federated Learning for Finger Vein Recognition
With the increasing emphasis on user privacy protection, biometric recognition based on
federated learning have become the latest research hotspot. However, traditional federated …
federated learning have become the latest research hotspot. However, traditional federated …
Adaptive Hybrid Masking Strategy for Privacy-Preserving Face Recognition Against Model Inversion Attack
The utilization of personal sensitive data in training face recognition (FR) models poses
significant privacy concerns, as adversaries can employ model inversion attacks (MIA) to …
significant privacy concerns, as adversaries can employ model inversion attacks (MIA) to …