  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.
