WO WO2026154507A1

METHODS AND SYSTEMS FOR ENABLING FEDERATED LEARNING ON 3GPP EDGE APP ARCHITECTURE

Abstract

Embodiments herein disclose a system (100), and a method includes registering a Federated Haptic Server (FedHS) (110) with a plurality of Edge Configuration Servers (ECS) (160) from different Edge Computing Service Providers (ECSPs). Further, the method includes registering Edge Enabler Servers (EES) (140) with the FedHS (110) after discovery, enabling communication between the FedHS (110) and Edge Application Servers (EAS) (130). Further, the method includes receiving locally trained model updates from a plurality of User Equipment (UE) devices (120) and EAS (130) deployed by different ECSPs. Further, the method includes aggregating the locally trained model parameters at the FedHS (110) to create global model parameters. Further, the method includes transmitting the global model parameters back to the EAS (130) and the plurality of UE devices (120), while maintaining data privacy between different ECSPs.

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