Deploying a Federated Learning Based AI Solution in a Hierarchical Edge Architecture | IEEE Conference Publication | IEEE Xplore

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Deploying a Federated Learning Based AI Solution in a Hierarchical Edge Architecture


Abstract:

Edge computing enables the computation and analytics capabilities to be brought closer to data sources. The available literature on AI solutions for edge computing primar...Show More

Abstract:

Edge computing enables the computation and analytics capabilities to be brought closer to data sources. The available literature on AI solutions for edge computing primarily addresses just two edge layers. The upper layer can directly communicate with the cloud and comprises one or more IoT edge devices that gather sensing data from IoT devices present in the lower layer. However, industries mainly adopt a multi-layered architecture, referred to as the ISA-95 standard, to isolate and safeguard their assets. In this architecture, only the upper layer is connected to the cloud, while the lower layers of the hierarchy get to interact only with the neighbouring layers. Due to these added intermediate layers (and IoT edge devices) between the top and lower layers, existing AI solutions for typical two-layer edge architectures may not be directly applicable in this scenario. Moreover, not all industries prefer to send and store their private data in the cloud. Implementing AI solutions tailored to a hierarchical edge architecture would increase response time and maintain the same degree of security by working within the ISA-95-compliant network architecture. This paper explores a possible strategy for deploying a centralized federated learning-based AI solution in a hierarchical edge architecture and demonstrates its efficacy through a real deployment scenario.
Date of Conference: 16-18 September 2022
Date Added to IEEE Xplore: 03 November 2022
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ISSN Information:

Conference Location: Hyderabad, India

I. Introduction

Industrial IoT (IIoT) involves the adoption of IoT in various industrial contexts to achieve efficient factory management, automation and optimisation of operational processes etc. The ISA-95 standard and the Purdue model are two well-established architectures in operational technology. They define several layers used to construct the network architecture, with firewalls enforcing tight interfaces between them. In the implementation, the top layer of a hierarchical edge architecture becomes Layer , the intermediate layer becomes Layer , and the lowest layer becomes Layer or of the ISA-95 architecture as illustrated in Fig. 1. Each layer in a hierarchical edge architecture, except the lowest, contains one or more IoT edge devices that process messages and requests from the devices in the layer below.

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