TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

SotA/Methodology/Federated Learning/CIFAR-100 (alpha=0.5, 20 clients per round)

Federated Learning on CIFAR-100 (alpha=0.5, 20 clients per round)

Metric: ACC@1-100Clients (higher is better)

LeaderboardDataset
Loading chart...

Results

Submit a result
#Model↕ACC@1-100Clients▼AugmentationsPaperDate↕Code
1FedASAM + SWA48.27NoImproving Generalization in Federated Learning b...2022-03-22Code
2FedASAM47.78NoImproving Generalization in Federated Learning b...2022-03-22Code
3FedSAM + SWA46.47NoImproving Generalization in Federated Learning b...2022-03-22Code
4FedSAM46.05NoImproving Generalization in Federated Learning b...2022-03-22Code
5FedAvg42.17NoImproving Generalization in Federated Learning b...2022-03-22Code