IEEE

Elliptic Curve Diffie-Hellman based Privacy-Preserving Deduplication for Big Data in Cloud Systems

Abstract: Data deduplication is crucial for cloud computing, particularly in managing the expansive growth of outsourced mobile data. Some existing approaches are vulnerable to brute-force attacks and ...
Digi Times

In-depth: Google TurboQuant cuts LLM memory 6x, resets AI inference cost curve

Google has introduced TurboQuant, a compression algorithm that reduces large language model (LLM) memory usage by at least 6x while boosting performance, targeting one of AI's most persistent ...
Ars Technica

Google’s TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...
IEEE

A AAV Swarm Authentication and Key Agreement Scheme Based on Latin Square Design

Abstract: The development of AAV networking technology is leading to growing concerns about the security of AAV swarms. Due to the open-access communication environment, AAV swarms are highly ...