Ruixuan Lu’s research while affiliated with Nanjing Nari-Relays Electric CO., LTD and other places

... Business organizations face pressure to extract valuable insights from this big data while ensuring data privacy and security. Centralized data analysis processes require the collection of raw data at a centralized location, leading to significant privacy concerns and regulatory issues as well processes such as GDPR and industry-specific regulations [1]. ...

Reference:

Privacy-Preserving Industrial IoT Data Analysis Using Federated Learning in Multi-Cloud Environments

... Anomaly detection plays an essential role in various industries, from identifying fraudulent transactions in finance to detecting irregularities in power grids [26], [8], [25], [36] As datasets grow in complexity, traditional machine learning (ML) methods struggle with scalability and accuracy. Quantum computing offers a promising new approach, with its potential to accelerate computations and detect subtle patterns and correlations in data. ...

Reference:

Quorum: Zero-Training Unsupervised Anomaly Detection using Quantum Autoencoders