Haoyu Ma

Sparsity Winning Twice: Better Robust Generalization from More Efficient Training

2022 · arXiv (Cornell University)

Recent studies demonstrate that deep networks, even robustified by the state-of-the-art adversarial training (AT), still suffer from large robust generalization gaps, in addition to the much more expensive training costs than standard training. In this …

Machine Learning-Driven Container Scheduling for Edge-Empowered Microservices

2025

This research investigates the integration of machine learning technology into microservices architectures for edge-enabled container scheduling strategies. Deploying microservices applications can be intricate, while container virtualisation technology solves environmental complexities. However, container scheduling strategies remain …