CUSCNN: A SECURE AND BATCH-PROCESSING FRAMEWORK FOR PRIVACY-PRESERVING CONVOLUTIONAL NEURAL NETWORK PREDICTION ON GPU

The emerging topic of privacy-preserving deep learning as a service has attracted increasing attention in recent years, which focuses on building an efficient and practical neural network prediction framework to secure client and model-holder data privately on the cloud.In such a task, the time cost of performing the secure linear layers is expensi

Most existing road network matching algorithms are designed based on previous rules and do not fully utilize the potential of big data and historical tracks.To solve this problem, we introduce a new road network matching algorithm based on deep learning and iphone 14 price miami using the topology information of the road network.Taking inspiration