2 papers
cs.GT2021
Federated Learning with Fair Worker Selection: A Multi-Round Submodular Maximization Approach
Fengjiao Li, Jia Liu, Bo Ji
In this paper, we study the problem of fair worker selection in Federated Learning systems, where fairness serves as an incentive mechanism that encourages more workers to particip…
cs.LG2019
Combinatorial Sleeping Bandits with Fairness Constraints
Fengjiao Li, Jia Liu, Bo Ji
The multi-armed bandit (MAB) model has been widely adopted for studying many practical optimization problems (network resource allocation, ad placement, crowdsourcing, etc.) with u…