Our Work “Hybrid Blockchain-Based Resource Trading System for Federated Learning in Edge Computing” Has Been Published at IEEE Internet of Things Journal

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Our recent work “Hybrid Blockchain-Based Resource Trading System for Federated Learning in Edge Computing” has been published at IEEE Internet of Things Journal (IoTJ).

In this work, we propose a hybrid blockchain-based resource trading system that combines the advantages of both public and consortium blockchains. We design and implement a smart contract to facilitate an automatic, autonomous, and auditable rational reverse auction mechanism among edge nodes. Moreover, we leverage the payment channel technique to enable credible, fast, low cost, and high-frequency payment transactions between requesters and edge nodes. Simulation results show that the proposed reverse auction mechanism can achieve the properties, including budget feasibility, truthfulness, and computational efficiency.