Connecting AI Learning and Blockchain Mining in 6G Systems

TL;DR

This paper introduces E-PoW, a novel blockchain consensus mechanism that integrates AI training computations into mining, significantly reducing wasted resources and enabling efficient AI training within 6G systems.

Contribution

The paper proposes E-PoW, a new consensus method that combines AI matrix computations with blockchain mining, bridging AI and blockchain resource utilization in 6G.

Findings

E-PoW salvages up to 80% of mining power for AI training.

E-PoW effectively integrates AI computations into blockchain mining.

Experimental results demonstrate improved resource efficiency in 6G systems.

Abstract

The sixth generation (6G) systems are generally recognized to be established on ubiquitous Artificial Intelligence (AI) and distributed ledger such as blockchain. However, the AI training demands tremendous computing resource, which is limited in most 6G devices. Meanwhile, miners in Proof-of-Work (PoW) based blockchains devote massive computing power to block mining, and are widely criticized for the waste of computation. To address this dilemma, we propose an Evolved-Proof-of-Work (E-PoW) consensus that can integrate the matrix computations, which are widely existed in AI training, into the process of brute-force searches in the block mining. Consequently, E-PoW can connect AI learning and block mining via the multiply used common computing resource. Experimental results show that E-PoW can salvage by up to 80 percent computing power from pure block mining for parallel AI training in 6G systems.