# Image Classification on CIFAR-10 Dirichlet setting (100 clients) (test)

Source: [Image Classification on CIFAR-10 Dirichlet setting (100 clients) (test)](<https://www.sota2.com/research/sota/image-classification-on-cifar-10-dirichlet-setting-100-clients-test>)

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

Data updated: 2026-02-26T05:29:31.669Z

Evaluation of Image Classification performance on the CIFAR-10 test set partitioned under a Dirichlet distribution setting across 100 clients.

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 | Image Classification |
| Dataset (including any stated split) | CIFAR-10 Dirichlet setting (100 clients) (test) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 5 of 5 |
| 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

- [Accuracy](<https://www.sota2.com/research/sota/image-classification-on-cifar-10-dirichlet-setting-100-clients-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| FedOTP | 96.05 | Not recorded | 68fa72ba1e209131cea58339 |
| CoOp | 93.11 | Not recorded | 68fa72ba1e209131cea58339 |
| PromptFL | 92.3 | Not recorded | 68fa72ba1e209131cea58339 |
| PromptFL+FedProx | 91.83 | Not recorded | 68fa72ba1e209131cea58339 |
| Zero-Shot CLIP | 87.71 | Not recorded | 68fa72ba1e209131cea58339 |

### FedOTP

Accuracy: 96.05. Result ID: 699256f33a6c3148490e4987.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72ba1e209131cea58339.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa72ba1e209131cea58339.md>)

[Implementation](<https://github.com/HongxiaLee/FedOTP>)

Recorded evaluation configuration: {"Training Setting":"Prompt-based Federated Learning"}. This record does not assert independent reproduction.

### CoOp

Accuracy: 93.11. Result ID: 699256f33a6c3148490e4984.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72ba1e209131cea58339.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d8b1e209131cea3a814.md>)

[Implementation](<https://github.com/KaiyangZhou/CoOp>)

Recorded evaluation configuration: {"Training Setting":"Local Training"}. This record does not assert independent reproduction.

### PromptFL

Accuracy: 92.3. Result ID: 699256f33a6c3148490e4985.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72ba1e209131cea58339.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d511e209131cea391ba.md>)

Recorded evaluation configuration: {"Training Setting":"Prompt-based Federated Learning"}. This record does not assert independent reproduction.

### PromptFL+FedProx

Accuracy: 91.83. Result ID: 699256f33a6c3148490e4986.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72ba1e209131cea58339.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa67701e209131cea163fe.md>)

Recorded evaluation configuration: {"Training Setting":"Prompt-based Federated Learning"}. This record does not assert independent reproduction.

### Zero-Shot CLIP

Accuracy: 87.71. Result ID: 699256f33a6c3148490e4983.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72ba1e209131cea58339.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69581e209131cea21ad0.md>)

[Implementation](<https://github.com/OpenAI/CLIP>)

Recorded evaluation configuration: {"Training Setting":"Local Training"}. This record does not assert independent reproduction.

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