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arXiv Machine Learning By Luan Mantegazine, Luiza Leidemer, Claudio Geyer

A Lifecycle Cost Analysis of Smart-Contract-Coordinated Federated Learning Marketplaces

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The paper experimentally evaluates the operational cost of a DAO‑governed blockchain‑enabled federated learning marketplace. It decomposes gas consumption across the entire contract lifecycle, isolates the impact of on‑chain coordination and IPFS storage, and derives an analytical model for cost amortization. Results show a single training task consumes about 3.8 million gas units per trainer, with the average cost per training round reaching its amortization knee after roughly 20 communication rounds, while model performance remains comparable to conventional FL deployments.

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