Federated learning (FL) has enabled distributed learning of a model across multiple clients in a privacy-preserving manner. One of the main challenges of FL is to accommodate clients with varying ...

The goal of the Universal Numbers Library is to offer alternatives to native integer and floating-point for mixed-precision algorithm development and optimization. Tailoring the arithmetic types to ...