- IOTA is pioneering the 6G revolution, and with patent CN117176593A, it will offer an endogenous intelligent architecture design and optimization method, device, system and storage medium.
- This will finally solve the difficulty faced by developers as they implement federated learning in large-scale 6G networks through an improved IOTA consensus algorithm.
The era of 6G is upon us, and the IOTA network is leading in this revolution and shaping the future of the sixth-generation technology for wireless communications. Through patent CN117176593A, the network will offer an intelligent architecture design that solves the challenge of deploying federated learning in 6G networks.
The recently issued patent relates to an architectural design and an optimization method device, system, and storage medium relating to 6G.
🚀 Exciting news in the world of 6G! #IOTA is playing a pivotal role in revolutionizing 6G technology. With its cutting-edge contributions, it’s transforming the landscape by enabling large-scale federated learning, enhancing network efficiency, and ensuring the utmost in secure… pic.twitter.com/iHLZ4NBCJl
— Marcel Knobloch aka Collin Brown (@CollinBrownXRP) January 19, 2024
6G is a cellular network that uses cognitive technologies, including AI, to offer low-latency, high-speed communications much faster than the current 5G technology. According to experts ‘ estimates, this standard is set to commence deployment in a few years, and by the end of the decade, it will have replaced 5G as the global communication standard.
IOTA, ever a pioneer in the latest technology, is shaping up to be the network that underpins 6G.
How IOTA is Shaping 6G
One fundamental tenet of 6G is that it will move from centralized chokeholds to distributed channels. This will demand federated learning, a technique under which involved participants can build a standard machine model without sharing their data.
Despite all the benefits, federated learning faces the challenge of a lack of trust as data isn’t shared. So, how can participants engage in secure sharing while ensuring the model’s accuracy? The solution is DLT.
As patent CN117176593A notes, DLT “can establish collaborative trust between network entities, promote efficient resource sharing, trusted data interaction, and secure access control in wireless networks. Privacy protection, data tracking, identity authentication and information supervision provide a new evolution direction for the security system of 6G networks.”
But blockchain, in general, isn’t the solution. It lacks two critical components—an off-chain settlement mode and multi-chain sharding.
Patent CN117176593A solves the challenge by presenting a method that leverages a main chain and shard chains to build a hierarchical federated learning network architecture, adopting an improved IOTA consensus algorithm. The improvements would include changing the PoW once data is uploaded to the model propagation process.
The patent filing adds:
When the node receives a new model that needs to be uploaded, the model is evaluated, and the evaluation results are in line with the prediction. The required model is placed on the local IOTA database and transmitted to adjacent nodes, and models whose evaluation results do not meet the preset requirements are discarded.
This would prevent spam on IOTA and improve the model’s reliability while fortifying its security.
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