Feb. 8, 2024, 5:42 a.m. | Zhepei Wei Chuanhao Li Tianze Ren Haifeng Xu Hongning Wang

cs.LG updates on arXiv.org arxiv.org

To enhance the efficiency and practicality of federated bandit learning, recent advances have introduced incentives to motivate communication among clients, where a client participates only when the incentive offered by the server outweighs its participation cost. However, existing incentive mechanisms naively assume the clients are truthful: they all report their true cost and thus the higher cost one participating client claims, the more the server has to pay. Therefore, such mechanisms are vulnerable to strategic clients aiming to optimize their …

advances client communication cost cs.gt cs.lg efficiency incentives report server true

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