We aim to employ Federated Learning (FL) and prominent features of blockchain into MEC architecture such as connected autonomous vehicles to enable complete decentralization, immutability, and rewarding mechanisms simultaneously.
The proposed framework consists of four components (i. e., an authenticator, a client, a hardware wallet, and a smart contract), and it provides 2-factor authentication (2FA) performed in two stages of interaction with the blockchain.
Cryptography and Security
To this end, we develop a decentralized and trustworthy quantum federated learning (QFL) framework.
Ethereum is one of the most valuable blockchain networks in terms of the total monetary value locked in it, and arguably been the most active network where new blockchain innovations in research and applications are demonstrated.
We outline a quantum-enabled blockchain architecture based on a consortium of quantum servers.
Quantum Physics Cryptography and Security Distributed, Parallel, and Cluster Computing
Architecting software-intensive systems can be a complex process.
Internet of quantum blockchains (IoB) will be the future Internet.