# Image Classification on CIFAR-10 heterogeneous (test)

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

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

Data updated: 2026-03-04T17:57:59.153Z

Evaluation of Image Classification performance on the heterogeneous test split of the CIFAR-10 dataset, reporting standard accuracy and Negative Log-Likelihood (NLL).

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 heterogeneous (test) |
| Metric | Test Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 4 of 4 |
| 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

- [Test Accuracy](<https://www.sota2.com/research/sota/image-classification-on-cifar-10-heterogeneous-test.md?metric=Test%20Accuracy>): Higher is better; unit: PERCENT.

- [Test NLL](<https://www.sota2.com/research/sota/image-classification-on-cifar-10-heterogeneous-test.md?metric=Test%20NLL>): Lower is better; unit: SCALAR.

## Recorded results

| Method | Test Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| IVON-ADMM | 80.3 | Not recorded | 68fa5da71e209131ce9dbecb |
| FedAvg/FedProx | 75.4 | Not recorded | 68fa5da71e209131ce9dbecb |
| IVON-ADMM | 70.3 | Not recorded | 68fa5da71e209131ce9dbecb |
| IVON-ADMM | 63.8 | Not recorded | 68fa5da71e209131ce9dbecb |

### IVON-ADMM

Test Accuracy: 80.3. Result ID: 69a872946dbb7075b9507058.

[Reporting paper](<https://www.sota2.com/research/paper/68fa5da71e209131ce9dbecb.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa5da71e209131ce9dbecb.md>)

Recorded evaluation configuration: {"Communication Rounds":"50","Backbone":"CNN"}. This record does not assert independent reproduction.

### FedAvg/FedProx

Test Accuracy: 75.4. Result ID: 69a872946dbb7075b9507057.

[Reporting paper](<https://www.sota2.com/research/paper/68fa5da71e209131ce9dbecb.md>)

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

Recorded evaluation configuration: {"Communication Rounds":"50","Backbone":"CNN"}. This record does not assert independent reproduction.

### IVON-ADMM

Test Accuracy: 70.3. Result ID: 69a872946dbb7075b950705a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa5da71e209131ce9dbecb.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa5da71e209131ce9dbecb.md>)

Recorded evaluation configuration: {"Communication Rounds":"50","Setup":"Acar et al., 2021"}. This record does not assert independent reproduction.

### IVON-ADMM

Test Accuracy: 63.8. Result ID: 69a872946dbb7075b9507059.

[Reporting paper](<https://www.sota2.com/research/paper/68fa5da71e209131ce9dbecb.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa5da71e209131ce9dbecb.md>)

Recorded evaluation configuration: {"Communication Rounds":"10","Setup":"Acar et al., 2021"}. This record does not assert independent reproduction.

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