Verteiltes Training Komprimierter Maschinenlernmodelle

Details

Veröffentlichungs-Nr.

EP4722985

Anmeldetag

1. Oktober 2025

Veröffentlichung

8. April 2026

Rechtsraum

EP

Abstract

An example apparatus includes a hardware platform having arithmetic circuits and a memory, the memory configured to store, at a first precision, first compressed parameters of a machine learning (ML) model; a network interface controller; and a controller, supported by the hardware platform, configured to: decompress, from the memory through an increase in precision to a second precision, the first compressed parameters to obtain decompressed parameters; control the arithmetic circuits to train, using arithmetic operations, the ML model and update the decompressed parameters; compress, using quantization and reduction in precision to the first precision, the decompressed parameters as updated to obtain second compressed parameters; send, using the network interface controller, the second compressed parameters over a network to a server; and update the first compressed parameters in the memory in response to data received, through the network interface controller, from the server over the network.

Anmelder

Firma

VMware LLC

Land

🇺🇸 USA