Compression Ratio

Compression ratio, a measure of data reduction, is a key focus in various fields, from distributed machine learning to natural language processing. Current research investigates optimizing compression ratios in diverse contexts, including improving the efficiency of gradient compression in distributed training using adaptive algorithms and exploring the relationship between compression and model performance in large language models. These advancements aim to enhance the efficiency and scalability of machine learning systems and improve the performance of various applications by reducing computational and communication bottlenecks.