This paper concerns Secure Multiparty Computation (MPC), a type of privacy-preserving computation where two or more parties jointly compute a function on private inputs by following a protocol executed in rounds. While secure, it can often increase required computation time and resources. The authors propose a MPC over Algorand Blockchain (MPC-ABC) protocol that packs messages into Algorand transactions and utilizes its fast gossip protocol to transmit them efficiently among MPC parties. They show that this approach outperforms the commonly adopted approaches over the P2P TCP/IP network in terms of the average delay and network complexity.
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