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A decentralized data marketplace that facilitates collaborative machine learning through privacy-preserving federated learning, Byzantine-robust aggregation, and blockchain-based incentive mechanisms.
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The project is a research artifact (associated with an arXiv paper) with zero stars and minimal activity. While it addresses a complex intersection of cryptography, game theory, and ML, its current state is a theoretical proof-of-concept. Frontier labs have little interest in decentralized market structures, preferring centralized data moats.
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