2023
Navigating Data Heterogeneity in Federated Learning: A Semi-Supervised Federated Object Detection
NeurIPS 2023poster
Federated Learning (FL) has emerged as a potent framework for training models across distributed data sources while maintaining data privacy. Nevertheless, it faces challenges with limited high-quality labels and non-IID client data, particularly in applications like autonomous driving. To address t…