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cs.LG2024
Pursuing Overall Welfare in Federated Learning through Sequential Decision Making
Seok-Ju Hahn, Gi-Soo Kim, Junghye Lee
In traditional federated learning, a single global model cannot perform equally well for all clients. Therefore, the need to achieve the client-level fairness in federated system h…
cs.LG2023
GBOSE: Generalized Bandit Orthogonalized Semiparametric Estimation
Mubarrat Chowdhury, Elkhan Ismayilzada, Khalequzzaman Sayem +1
In sequential decision-making scenarios i.e., mobile health recommendation systems revenue management contextual multi-armed bandit algorithms have garnered attention for their per…