3 papers
cs.LG2025
Highly Efficient Direct Analytics on Semantic-aware Time Series Data Compression
Guoyou Sun, Panagiotis Karras, Qi Zhang
Semantic communication has emerged as a promising paradigm to tackle the challenges of massive growing data traffic and sustainable data communication. It shifts the focus from dat…
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.DC2025
SHRINK: Data Compression by Semantic Extraction and Residuals Encoding
Guoyou Sun, Panagiotis Karras, Qi Zhang
The distributed data infrastructure in Internet of Things (IoT) ecosystems requires efficient data-series compression methods, along with the ability to feed different accuracy dem…