A changing era in computational intelligence is experiencing a major move toward decentralized structures. This momentum is fueled by demands for openness, answerability, and system resilience, and a concurrent objective to widen and democratize access to AI functions. This distributed approach aims to hand model and data control to a networked col

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A changing era in computational intelligence is transitioning rapidly toward decentralized frameworks. The push stems from requirements for clear operation, responsibility, and robustness, alongside efforts to distribute and democratize access to intelligent tools. Distributed AI endeavors to share control and ownership of models and datasets acros

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