Deep learning network compression techniques have emerged as a crucial research area, aiming to reduce the computational and storage requirements of neural networks without significantly compromising ...

In the big data era, algorithms for efficient data compression have become increasingly crucial, both for transmission over the network and long-term archival. Most traditional compression techniques, ...