Liang Gao

FIFL: A Fair Incentive Mechanism for Federated Learning

2021

Federated learning is a novel machine learning framework that enables multiple devices to collaboratively train high-performance models while preserving data privacy. Federated learning is a kind of crowdsourcing computing, where a task publisher shares profit …

Open-Set Fault Diagnosis based on Prototype Learning with Dual Category-Classifier

2024

Fault diagnosis is one of the most essential parts of industry quality inspection. Recent years have seen great success in Deep-Learning (DL) based fault diagnosis methods. However, traditional supervised DL methods only aim at reducing …