Transparent Proxy Server Architecture

Transparent proxy server architectures aim to facilitate efficient and secure communication and data sharing across diverse systems, often addressing limitations in existing frameworks. Current research focuses on developing proxy models for various applications, including improving language model performance, accelerating simulations, and enhancing object detection, often leveraging techniques like neural operators, transformers, and mixup methods. This work is significant for its potential to improve the efficiency and scalability of machine learning, accelerate scientific computation, and enhance privacy in distributed learning environments.