Data Compression: Privacy-Preserving Techniques

Related lectures (32)

Page 3 of 4

Covers model compression techniques to enhance the efficiency of large language models in production settings.

Covers PCA, finding directions of largest variance, data dimensionality reduction, and limitations of PCA.

Covers the resolution of a frame as a trellis structure, focusing on load distribution.

Explores columnar storage, compression techniques, DSM properties, and PAX advantages for analytics.

Explores entropy as a 'question game' to guess letters efficiently and its relation to data compression.

Explores hash collisions, attacks on hash functions, and strategies for exploiting them in file formats like JPEG and PDF.

Analyzes efforts in trusses, emphasizing maximum values and sign distribution in different members.

Covers advanced topics in watermarking, including resisting scaling and rotations, self-referenced watermarking, and types of attacks.

Explores Shannon-Fano coding for efficient data compression and its comparison to Huffman coding.

Explores the advantages of Decomposition Storage Model with column-oriented storage and various compression techniques.