An Efficient Industrial Federated Learning Framework for AIoT: A Face Recognition Application

Understand

Recently, the artificial intelligence of things (AIoT) has been gaining increasing attention, with an intriguing vision of providing highly intelligent services through the network connection of things, leading to an advanced AI-driven ecology.

• However, recent regulatory restrictions on data privacy preclude uploading sensitive local data to data centers and utilizing them in a centralized approach.
• Directly applying federated learning algorithms in this scenario could hardly meet the industrial requirements of both efficiency and accuracy.
• Therefore, we propose an efficient industrial federated learning framework for AIoT in terms of a face recognition application.