Lixin Fan

MaraVis: Representation and Coordinated Intervention of Medical Encounters in Urban Marathon

2020

There is an increased use of Internet-of-Things and wearable sensing devices in the urban marathon to ensure effective response to unforeseen medical needs. However, the massive amount of real-time, heterogeneous movement and psychological data of …

No Free Lunch Theorem for Security and Utility in Federated Learning

2022 · ACM Transactions on Intelligent Systems and Technology

In a federated learning scenario where multiple parties jointly learn a model from their respective data, there exist two conflicting goals for the choice of appropriate algorithms. On one hand, private and sensitive training data …

Trading Off Privacy, Utility and Efficiency in Federated Learning

2022 · arXiv (Cornell University)

Federated learning (FL) enables participating parties to collaboratively build a global model with boosted utility without disclosing private data information. Appropriate protection mechanisms have to be adopted to fulfill the opposing requirements in preserving \textit{privacy} …