Funding Source: SNF

Behavioral analytics is widely recognized as being key to providing new services and solutions in many application domains. The key to behavioral analytics is to be able to identify and track individual user interactions across time and space (e.g., Web server logs). However, currently there are no viable mechanisms for service providers to track user interactions in the real world without raising significant privacy concerns. BASE develops a new privacy-aware method for understanding human behavior through activity traces (e.g., GPS, smartphone app launches). The work is based on state-of-the-art federated machine-learning approaches.