A production-ready distributed rate limiter supporting five algorithms (Token Bucket, Sliding Window, Fixed Window, Leaky Bucket, and Composite) with Redis backing for high-performance API protection.

Abstract: In federated learning, non-independently and non-identically distributed heterogeneous data on the clients can limit both the convergence speed and model utility of federated learning, and ...

In recent years, big complex data sets have been generated using omics analysis, necessitating the use of various bioinformatics and computational tools for analysis and interpretation. The ...

With the rapid development of electricity market reforms and smart grid technologies, accurately identifying the typical load curves of industrial customers is crucial for electricity retail companies ...