‘Provably Secure Blockchain Protocols from Distributed Proof-of-Deep-Learning’ in NSS’23

We are excited to announce that Su has its work accepted for NSS’23.

Su introduces the distributed proof-of-deep-learning (D-PoDL) which repurposes the computational power of networks to train computational models. In that sense, Su’s work fits in the approach of finding better uses of huge computational power available in blockchain systems in particular those based in proof-of-work ones.