Yehuda Rudin
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126
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ML×1Multiagent×1
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2026
Autonomous Collaborative Learning Among an Ensemble of Tsetlin Machines with Consensus-Based Inference
This paper proposes a decentralized collaborative learning paradigm for Tsetlin Machines using consensus-based inference, allowing heterogeneous agents to maintain their own private models and combine predictions into a global consensus.
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