FedRAV combines region-wise client clustering with hypernetwork-generated masks to produce personalized traffic object classifiers that outperform several federated learning baselines on three datasets.
Efficient distribution similarity identification in clustered federated learning via principal angles between client data subspaces,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.DC 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Autonomous Vehicles
FedRAV combines region-wise client clustering with hypernetwork-generated masks to produce personalized traffic object classifiers that outperform several federated learning baselines on three datasets.