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Eco-friendly systems are necessitated nowadays, as the global consumption is increasing.
\nA data-driven aspect is prominent, involving the Internet of Things (IoT) as the main enabler of a
\nCircular Economy (CE). Henceforth, IoT equipment records the system’s functionality, with machine
\nlearning (ML) optimizing green computing operations. Entities exchange and reuse CE assets. Transparency is vital as the beneficiaries must track the assets’ history. This article proposes a framework
\nwhere blockchaining administrates the cooperative vision of CE-IoT. For the core operation, the
\nblockchain ledger records the changes in the assets’ states via smart contracts that implement the
\nCE business logic and are lightweight, complying with the IoT requirements. Moreover, a federated
\nlearning approach is proposed, where computationally intensive ML tasks are distributed via a
\nsecond contract type. Thus, “green-miners” devote their resources not only for making money, but
\nalso for optimizing operations of real-systems, which results in actual resource savings.
\n