3 papers
cs.DB2025
EntroGD: Scalable Generalized Deduplication for Efficient Direct Analytics on Compressed IoT Data
Xiaobo Zhao, Daniel E. Lucani
Massive data streams from IoT and cyber-physical systems must be processed under strict bandwidth, latency, and resource constraints. Generalized Deduplication (GD) is a promising…
cs.LG2025
dreaMLearning: Data Compression Assisted Machine Learning
Xiaobo Zhao, Aaron Hurst, Panagiotis Karras +1
Despite rapid advancements, machine learning, particularly deep learning, is hindered by the need for large amounts of labeled data to learn meaningful patterns without overfitting…
cs.NI2018
Reliable IoT Storage: Minimizing Bandwidth Use in Storage Without Newcomer Nodes
Xiaobo Zhao, Daniel E. Lucani, Xiaohong Shen +1
This letter characterizes the optimal policies for bandwidth use and storage for the problem of distributed storage in Internet of Things (IoT) scenarios, where lost nodes cannot b…