FedSTaS merges FedSTS-style stratified client sampling with FedSampling-style private data-level sampling and reports accuracy gains over FedSTS on MNIST and CIFAR-100 under non-IID splits.
FedSTS : A Stratified Client Selection Framework for Consistently Fast Federated Learning
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
FedSTaS: Client Stratification and Client Level Sampling for Efficient Federated Learning
FedSTaS merges FedSTS-style stratified client sampling with FedSampling-style private data-level sampling and reports accuracy gains over FedSTS on MNIST and CIFAR-100 under non-IID splits.