In the midst of the emerging trend of integrating artificial intelligence (AI) with crypto mining, we identify three major challenges that create a gap between these two fields. To bridge this gap, we introduce the proof-of-training (PoT) protocol, an approach that combines the strengths of both AI and blockchain technology. The PoT protocol utilizes the practical Byzantine fault tolerance (PBFT) consensus mechanism to synchronize global states. To evaluate the performance of the protocol design, we present an implementation of a decentralized training network (DTN) that adopts the PoT protocol. Our results indicate that the protocol exhibits considerable potential in terms of task throughput, system robustness, and network security.

翻译：在人工智能（AI）与加密挖矿融合的新兴趋势中，我们识别出阻碍两个领域对接的三大挑战。为弥合这一鸿沟，我们提出训练证明（PoT）协议，该方案融合了AI与区块链技术的双重优势。PoT协议采用实用拜占庭容错（PBFT）共识机制实现全局状态同步。为评估协议设计的性能，我们实现了一个采用PoT协议的分布式训练网络（DTN）系统。实验结果表明，该协议在任务吞吐量、系统鲁棒性和网络安全方面展现出显著潜力。