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Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses – Arxiv

Edge learning is a new and powerful approach to training models across distributed clients while protecting the privacy of their data.
This approach is expected to be embedded within future network infrastructures, including 6G, to solve challenging problems such as resource management and behaviour prediction. However, edge learning in general, and distributed deep learning, in particular, have been discovered to be susceptible to tampering and manipulation. This survey article provides a holistic review of the most recent research focused on edge learning vulnerabilities and defenses for 6G-enabled IoT.

The 6G Ambient IoT Opportunity For Supply Chain – ABI

A new class of Ambient Internet-of-Things (IoT) technology, which delivers pervasive connectivity to products that were previously disconnected, can help supply chains provide that much-needed granular real-time visibility.

In this whitepaper, ABI Research provides comprehensive insight into how Ambient IoT enables most items in a supply chain to be connected to the Internet, delivering real-time triggers and information about location and condition at a minimal cost, using existing wireless infrastructure, without human intervention.

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