Abstract: With the increasing complexity of network attacks and the diversification of attack methods, traditional intrusion detection systems (IDS) are finding it difficult to efficiently identify ...

Abstract: Federated learning (FL) is an emerging machine learning paradigm that enables the participants to train a global model without sharing the training data. Recently, FL has been widely ...

This REPO demonstrates an unofficial simplified implementation of SIGGRAPH 2025 Best Paper Nominate CAST: Component-Aligned 3D Scene Reconstruction from an RGB Image. The pipeline is modular and can ...