Machine learning is an integral part of high-stakes decision-making in a broad swath of human-computer interactions. You ...

As someone who has spent the better part of two decades optimizing distributed systems—from early MapReduce clusters to ...

Just as people from different countries speak different languages, AI models also create various internal "languages"—a ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

In the second stage, a delay and security tradeoff computing resource allocation method is proposed to jointly guarantee low-latency data processing and high-security blockchain consensus. Simulation ...

Geo-distributed machine learning (GDML) can facilitate collaborative learning among geographically dispersed data centers to meet the demands of distributed and privacy-preserving training for ...