2 papers
cs.NI2026
In-Network Market Prediction Using Machine Learning and Limit Order Books
Xinpeng Hong, Changgang Zheng, Joshua Lilley +2
Machine learning is significantly transforming algorithmic trading, yet the requirement for rapid execution speeds persists. While both aspects aim to boost profitability, embeddin…
cs.PF2025
Detecting Anomalies in Machine Learning Infrastructure via Hardware Telemetry
Ziji Chen, Steven W. D. Chien, Peng Qian +1
Modern machine learning (ML) has grown into a tightly coupled, full-stack ecosystem that combines hardware, software, network, and applications. Many users rely on cloud providers…