  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.
