Verfahren und System zur Aufteilung eines Künstlichen Neuronalen Netzwerks mit einem Verteilten Kommunikationsrahmen

Details

Veröffentlichungs-Nr.

EP4776133

Anmeldetag

17. Dezember 2025

Veröffentlichung

15. Juli 2026

Rechtsraum

EP

IPC

G06F9/50, G06N3/063

Abstract

Embodiments herein provide a method and system for splitting an artificial neural network (ANN) between edge devices (edge) and a user equipment (UE) under supervision of an application cloud (AC) through a unified splitting AI framework (SAF). In AI operation splitting, a few layers of the artificial neural network (ANN) are computed at the endpoint itself. The intermediate result is transferred to the Edge/ Cloud for further computation. Besides distributing the computation load, this has another important advantage. If the first few layers of the ANN are computed at the endpoint itself, then that saves the resources required for transmission of the entire input signal because the intermediate result needs much less bandwidth than the actual input. Also, the ANN could start in the offloaded node only after receiving the entire input. So, splitting the ANN computation is beneficial in terms of the total computation latency as well.

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Firma

Tata Consultancy Services Limited

Land

🇮🇳 Indien

Fachgebiete