# Federated Learning on CIFAR-10 non-IID (Dirichlet)

Source: [Federated Learning on CIFAR-10 non-IID (Dirichlet)](<https://www.sota2.com/research/sota/federated-learning-on-cifar-10-non-iid-dirichlet>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T05:34:45.544Z

Evaluation of Federated Learning performance on the CIFAR-10 dataset configured with a non-IID data distribution generated via the Dirichlet method. Metrics focus on agent utility and relative utility ratios.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Federated Learning |
| Dataset (including any stated split) | CIFAR-10 non-IID (Dirichlet) |
| Metric | Agent 0 Utility |
| Unit | SCALAR |
| Direction | Higher is better |
| Results loaded | 2 of 2 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Agent 0 Utility](<https://www.sota2.com/research/sota/federated-learning-on-cifar-10-non-iid-dirichlet.md?metric=Agent%200%20Utility>): Higher is better; unit: SCALAR.

- [Agent 1 Utility](<https://www.sota2.com/research/sota/federated-learning-on-cifar-10-non-iid-dirichlet.md?metric=Agent%201%20Utility>): Higher is better; unit: SCALAR.

- [Agent 2 Utility](<https://www.sota2.com/research/sota/federated-learning-on-cifar-10-non-iid-dirichlet.md?metric=Agent%202%20Utility>): Higher is better; unit: SCALAR.

- [Average Utility](<https://www.sota2.com/research/sota/federated-learning-on-cifar-10-non-iid-dirichlet.md?metric=Average%20Utility>): Higher is better; unit: SCALAR.

- [Multi Utility](<https://www.sota2.com/research/sota/federated-learning-on-cifar-10-non-iid-dirichlet.md?metric=Multi%20Utility>): Higher is better; unit: SCALAR.

- [Relative Utility Ratio](<https://www.sota2.com/research/sota/federated-learning-on-cifar-10-non-iid-dirichlet.md?metric=Relative%20Utility%20Ratio>): Higher is better; unit: SCALAR.

## Recorded results

| Method | Agent 0 Utility | Result date | Report paper |
| --- | --- | --- | --- |
| CoreFed | 0.73 | Not recorded | 68fa6dde1e209131cea3c94b |
| FedAvg | 0.63 | Not recorded | 68fa6dde1e209131cea3c94b |

### CoreFed

Agent 0 Utility: 0.73. Result ID: 698ff98a3a6c314849fd2ea7.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dde1e209131cea3c94b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6dde1e209131cea3c94b.md>)

Recorded evaluation configuration: {"Model":"CNN","Data distribution":"Dirichlet","Loss function":"Cross entropy loss","GPU":"1080 Ti"}. This record does not assert independent reproduction.

### FedAvg

Agent 0 Utility: 0.63. Result ID: 698ff98a3a6c314849fd2ea6.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dde1e209131cea3c94b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e761e209131cea40072.md>)

Recorded evaluation configuration: {"Model":"CNN","Data distribution":"Dirichlet","Loss function":"Cross entropy loss","GPU":"1080 Ti"}. This record does not assert independent reproduction.

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