Federated learning on heterogeneous and long-tailed data via classifier re-training with federated features
Federated learning (FL) provides a privacy-preserving solution for distributed machine
learning tasks. One challenging problem that severely damages the performance of FL …
learning tasks. One challenging problem that severely damages the performance of FL …
[PDF][PDF] Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features
X Shang, Y Lu, G Huang, H Wang - ijcai.org
Federated learning (FL) provides a privacypreserving solution for distributed machine
learning tasks. One challenging problem that severely damages the performance of FL …
learning tasks. One challenging problem that severely damages the performance of FL …
[PDF][PDF] Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features
X Shang, Y Lu, G Huang, H Wang - scholar.archive.org
Federated learning (FL) provides a privacypreserving solution for distributed machine
learning tasks. One challenging problem that severely damages the performance of FL …
learning tasks. One challenging problem that severely damages the performance of FL …
Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features
X Shang, Y Lu, G Huang, H Wang - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
Federated learning (FL) provides a privacy-preserving solution for distributed machine
learning tasks. One challenging problem that severely damages the performance of FL …
learning tasks. One challenging problem that severely damages the performance of FL …