research
∙
04/11/2023
RecUP-FL: Reconciling Utility and Privacy in Federated Learning via User-configurable Privacy Defense
Federated learning (FL) provides a variety of privacy advantages by allo...
share
research
∙
03/29/2022
Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage
Federated Learning (FL) framework brings privacy benefits to distributed...
research
∙
02/04/2022
Smartphone-based Hard-braking Event Detection at Scale for Road Safety Services
Road crashes are the sixth leading cause of lost disability-adjusted lif...
research
∙
09/23/2021
Cross-Lingual Language Model Meta-Pretraining
The success of pretrained cross-lingual language models relies on two es...
research
∙
07/03/2021
Byzantine-robust Federated Learning through Spatial-temporal Analysis of Local Model Updates
Federated Learning (FL) enables multiple distributed clients (e.g., mobi...
research
∙
06/04/2021
Local Adaptivity in Federated Learning: Convergence and Consistency
The federated learning (FL) framework trains a machine learning model us...
research
∙
07/06/2020