EP-HDC: Hyperdimensional Computing with Encrypted Parameters for High-Throughput Privacy-Preserving Inference
"隐私保护机器学习" 相关文章
Federated Learning in Practice: Training a Diabetes Prediction Model Across Distributed Datasites
隐私保护机器学习（PPML）技术｜为 AI 筑起隐私防火墙
Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives
