Incentivize to build
Federated learning (FL) rests on the notion of training a global model in a decentralized manner. Under this setting, mobile devices perform […]
A Crowdsourcing Framework for On-Device Federated Learning
Federated learning (FL) rests on the notion of training a global model in a decentralized manner. Under this setting, mobile devices perform […]
Human accuracy in mobile data collection
The collection of participant data “in the wild” is widely employed by Human-Computer Interaction researchers. A variety of methods, including experience sampling, […]
CampusTracker
In mobile crowdsourcing, labour can be opportunistically elicited by sending notifications to workers who complete tasks on-the-go. While much work has focused […]