The mobile gaming experience is, and will continue to be, a significant force both for the telecoms providers and the gaming industry. What can the GSMA's Open Gateway Initiative bring to the table, and what more needs to be done?
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.
In this guest post, Edgegap CEO Mathieu Duperré responds to a variety of accusations of security vulnerability leveled at edge computing. Is it really a problem of the technology or the mindset?
The concept of an endless fog is not much different from that of 6G, insofar as every device acts both as a transmitter and a receiver, talking to every other device.
If we left it to existing industry players to work this out amongst themselves, we might wait until 99G.
However, the next iteration of the loX (including “things” such as metaverse) is the wild card that may reshape this.