Federated Learning (FL) has received attention due to its data privacy-preserving mechanism. As a decentralized Machine Learning framework, all clients collectively train a model and a server gathers the model parameters to form a global model. Every client can apply the global model to tackle...

Dynamic mechanisms provide a powerful means for optimizing repeated auctions. Imple- menting them is complicated, however, due to a number of conditions that are difficult to satisfy in practice. These include the fact that the auction designer must be clairvoyant, in the sense that they must...

We consider school choice when the priority of a student for a school is conditional on who the other students are. Students have one of several types and the type distribution in the school matters. As a special class of our priority rules, we introduce the adjusted scoring rules and show that...

We study mechanism design with flexible but costly information acquisition. There is a principal and four or more agents, sharing a common prior over the set of payoff-relevant states. The principal proposes a mechanism to the agents who can then acquire information about the state of the world...

This study investigates the design of the royalty rate in a first-price auction across three types of investments: incremental and lumpy with or without an exogenously given intensity. A bidder's investment cost comprises private information. This, together with the stochastic evolution of the...