Since federated learning is a technique to train a model without collecting data to a server, it is a suitable architecture to train a face recognition model ...
Mar 8, 2024 · We explore the application of federated learning, both with and without secure aggregators, in the context of both supervised and unsupervised face recognition ...
Federated learning (FL) provides a distributed and privacy-aware framework to train machine learning mod- els where multiple client nodes collaboratively learn ...
In this work, we intro- duce a framework, FedGC, to tackle federated learning for face recognition and guarantees higher privacy. We explore a novel idea of ...
Jul 23, 2024 · A novel federated learning architecture tailored to train personalized face recognition models without imposing subjects.
Sep 19, 2024 · Abstract: With the rapid development of face recognition technology, federated learning has become a widely used method for face recognition ...
Sep 27, 2024 · Experiments on CelebA datasets demonstrate that federated learning not only preserves privacy but also maintains high levels of performance.
People also ask
What is the best algorithm for face recognition?
What is a real life example of federated learning?
What is the learning approach for face recognition?
Which deep learning model is best for face recognition?
Aug 6, 2024 · This chapter analyzes and summarizes the development status and technical achievements of face recognition technology under the federal learning framework.
This review categorises the current federated learning frameworks for face recognition into four main purposes: Training Efficiency, Recognition Accuracy, Data ...
Sep 3, 2024 · In this article, I will explain the concept of federated machine learning and its application to privacy-preserving facial recognition.