2024
(FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning
NeurIPS 2024poster
Federated Learning (FL) is a distributed machine learning framework that trains accurate global models while preserving clients' privacy-sensitive data. However, most FL approaches assume that clients possess labeled data, which is often not the case in practice. Federated Semi-Supervised Learning (…