Federated Learning (FL) aims to foster collaboration among a population ...
While the application of differential privacy (DP) has been well-studied...
Model compression is important in federated learning (FL) with large mod...
In federated learning, fair prediction across various protected groups (...
Many problems in machine learning rely on multi-task learning (MTL), in ...
In addition to accuracy, fairness and robustness are two critical concer...
Natural images are virtually surrounded by low-density misclassified reg...