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J. PavamanaK

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#machine learning Preprint Oct 2026

Pay to Learn, Share to Earn: Incentivized Federated Multi-Player Bandits

Federated multi-player multi-armed bandit problems model collaborative sequential decision-making where multiple players interact with a common bandit environment and share information through a central server to accelerate learning. Existing federated bandit frameworks typically assume that all players willingly share...

J. PavamanaK, C. Singh · 0 citations

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