Proof of Learning (PoLe): Empowering Machine Learning with Consensus Building on Blockchains
Yixiao Lan,
Yuan Liu,
Boyang Li
Abstract:The progress of deep learning (DL), especially the recent development of automatic design of networks, has brought unprecedented performance gains at heavy computational cost. On the other hand, blockchain systems routinely perform a huge amount of computation that does not achieve practical purposes in order to build Proof-of-Work (PoW) consensus from decentralized participants. In this paper, we propose a new consensus mechanism, Proof of Learning (PoLe), which directs the computation spent for consensus tow… Show more
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