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Artificial IntelligencearXiv — cs.LGThu, Jun 11, 2026, 4:00 AMPositive

SEDULity: A Proof-of-Learning Framework for Distributed and Secure Blockchains with Efficient Useful Work

A new framework called SEDULity has been proposed to enhance blockchain technology by integrating Proof-of-Learning (PoL) with machine learning (ML) tasks. This framework aims to address the inefficiencies of traditional Proof-of-Work (PoW) systems by redirecting computational efforts towards meaningful work while maintaining security and decentralization.

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  • What Happened

    A new framework called SEDULity has been proposed to enhance blockchain technology by integrating Proof-of-Learning (PoL) with machine learning (ML) tasks. This framework aims to address the inefficiencies of traditional Proof-of-Work (PoW) systems by redirecting computational efforts towards meaningful work while maintaining security and decentralization.

  • Why It Matters

    The introduction of SEDULity signifies a potential shift in blockchain operations, promoting sustainability and efficiency in the use of computational resources, which could lead to broader adoption of blockchain technologies in various sectors reliant on ML solutions.

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