# Image Classification on CIFAR-100 (Convergence Rounds to Target Accuracy)

Source: [Image Classification on CIFAR-100 (Convergence Rounds to Target Accuracy)](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-convergence-rounds-to-target-accuracy>)

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

Data updated: 2026-02-27T09:04:32.933Z

Evaluation of Image Classification performance on CIFAR-100, measuring the number of training rounds or iterations required to achieve specific accuracy targets (e.g., 47% or 55%).

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-100 |
| Metric | Accuracy (500 Rounds) |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 13 of 13 |
| 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 (500 Rounds)](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-convergence-rounds-to-target-accuracy.md?metric=Accuracy%20(500%20Rounds)>): Higher is better; unit: PERCENT.

- [Accuracy (1000 Rounds)](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-convergence-rounds-to-target-accuracy.md?metric=Accuracy%20(1000%20Rounds)>): Higher is better; unit: PERCENT.

- [Rounds to 47% Accuracy](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-convergence-rounds-to-target-accuracy.md?metric=Rounds%20to%2047%25%20Accuracy>): Lower is better; unit: SCALAR.

- [Rounds to 55% Accuracy](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-convergence-rounds-to-target-accuracy.md?metric=Rounds%20to%2055%25%20Accuracy>): Lower is better; unit: SCALAR.

## Recorded results

| Method | Accuracy (500 Rounds) | Result date | Report paper |
| --- | --- | --- | --- |
| FedACG | 55.79 | Not recorded | 68fa72b01e209131cea57eb7 |
| FedDC‡ | 54.25 | Not recorded | 68fa72b01e209131cea57eb7 |
| MOON | 53.15 | Not recorded | 68fa72b01e209131cea57eb7 |
| FedCM† | 52.44 | Not recorded | 68fa72b01e209131cea57eb7 |
| FedDyn | 48.38 | Not recorded | 68fa72b01e209131cea57eb7 |
| FedMLB | 47.39 | Not recorded | 68fa72b01e209131cea57eb7 |
| FedAvgM | 46.98 | Not recorded | 68fa72b01e209131cea57eb7 |
| FedADAM | 44.8 | Not recorded | 68fa72b01e209131cea57eb7 |
| FedDecorr | 43.52 | Not recorded | 68fa72b01e209131cea57eb7 |
| FedNTD | 43.22 | Not recorded | 68fa72b01e209131cea57eb7 |
| FedLC | 42.74 | Not recorded | 68fa72b01e209131cea57eb7 |
| FedProx | 42.43 | Not recorded | 68fa72b01e209131cea57eb7 |
| FedAvg | 41.88 | Not recorded | 68fa72b01e209131cea57eb7 |

### FedACG

Accuracy (500 Rounds): 55.79. Result ID: 69a15e1b35dfcabb00e6961a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72b01e209131cea57eb7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa72b01e209131cea57eb7.md>)

[Implementation](<https://github.com/ninigapa0/FedAGM>)

Recorded evaluation configuration: {"Federated Learning Setting":"Moderate-scale","Number of clients":"100","Participation rate":"5%","Dirichlet parameter":"0.3"}. This record does not assert independent reproduction.

### FedDC‡

Accuracy (500 Rounds): 54.25. Result ID: 69a15e1b35dfcabb00e69618.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72b01e209131cea57eb7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c0d1e209131cea31b80.md>)

[Implementation](<https://github.com/gaoliang13/FedDC>)

Recorded evaluation configuration: {"Federated Learning Setting":"Moderate-scale","Number of clients":"100","Participation rate":"5%","Dirichlet parameter":"0.3"}. This record does not assert independent reproduction.

### MOON

Accuracy (500 Rounds): 53.15. Result ID: 69a15e1b35dfcabb00e69613.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72b01e209131cea57eb7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa699a1e209131cea22fca.md>)

[Implementation](<https://github.com/QinbinLi/MOON>)

Recorded evaluation configuration: {"Federated Learning Setting":"Moderate-scale","Number of clients":"100","Participation rate":"5%","Dirichlet parameter":"0.3"}. This record does not assert independent reproduction.

### FedCM†

Accuracy (500 Rounds): 52.44. Result ID: 69a15e1b35dfcabb00e69614.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72b01e209131cea57eb7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a3d1e209131cea26ed8.md>)

Recorded evaluation configuration: {"Federated Learning Setting":"Moderate-scale","Number of clients":"100","Participation rate":"5%","Dirichlet parameter":"0.3"}. This record does not assert independent reproduction.

### FedDyn

Accuracy (500 Rounds): 48.38. Result ID: 69a15e1b35dfcabb00e69612.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72b01e209131cea57eb7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b361e209131cea2cecf.md>)

Recorded evaluation configuration: {"Federated Learning Setting":"Moderate-scale","Number of clients":"100","Participation rate":"5%","Dirichlet parameter":"0.3"}. This record does not assert independent reproduction.

### FedMLB

Accuracy (500 Rounds): 47.39. Result ID: 69a15e1b35dfcabb00e69615.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72b01e209131cea57eb7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d031e209131cea3754a.md>)

Recorded evaluation configuration: {"Federated Learning Setting":"Moderate-scale","Number of clients":"100","Participation rate":"5%","Dirichlet parameter":"0.3"}. This record does not assert independent reproduction.

### FedAvgM

Accuracy (500 Rounds): 46.98. Result ID: 69a15e1b35dfcabb00e69610.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72b01e209131cea57eb7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66581e209131cea0faa1.md>)

Recorded evaluation configuration: {"Federated Learning Setting":"Moderate-scale","Number of clients":"100","Participation rate":"5%","Dirichlet parameter":"0.3"}. This record does not assert independent reproduction.

### FedADAM

Accuracy (500 Rounds): 44.8. Result ID: 69a15e1b35dfcabb00e69611.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72b01e209131cea57eb7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa58711e209131ce9ae27a.md>)

Recorded evaluation configuration: {"Federated Learning Setting":"Moderate-scale","Number of clients":"100","Participation rate":"5%","Dirichlet parameter":"0.3"}. This record does not assert independent reproduction.

### FedDecorr

Accuracy (500 Rounds): 43.52. Result ID: 69a15e1b35dfcabb00e69619.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72b01e209131cea57eb7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa72d61e209131cea58d02.md>)

Recorded evaluation configuration: {"Federated Learning Setting":"Moderate-scale","Number of clients":"100","Participation rate":"5%","Dirichlet parameter":"0.3"}. This record does not assert independent reproduction.

### FedNTD

Accuracy (500 Rounds): 43.22. Result ID: 69a15e1b35dfcabb00e69617.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72b01e209131cea57eb7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e061e209131cea3d7a5.md>)

[Implementation](<https://github.com/Lee-Gihun/FedNTD>)

Recorded evaluation configuration: {"Federated Learning Setting":"Moderate-scale","Number of clients":"100","Participation rate":"5%","Dirichlet parameter":"0.3"}. This record does not assert independent reproduction.

### FedLC

Accuracy (500 Rounds): 42.74. Result ID: 69a15e1b35dfcabb00e69616.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72b01e209131cea57eb7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d851e209131cea3a601.md>)

Recorded evaluation configuration: {"Federated Learning Setting":"Moderate-scale","Number of clients":"100","Participation rate":"5%","Dirichlet parameter":"0.3"}. This record does not assert independent reproduction.

### FedProx

Accuracy (500 Rounds): 42.43. Result ID: 69a15e1b35dfcabb00e6960f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72b01e209131cea57eb7.md>)

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

Recorded evaluation configuration: {"Federated Learning Setting":"Moderate-scale","Number of clients":"100","Participation rate":"5%","Dirichlet parameter":"0.3"}. This record does not assert independent reproduction.

### FedAvg

Accuracy (500 Rounds): 41.88. Result ID: 69a15e1b35dfcabb00e6960e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72b01e209131cea57eb7.md>)

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

Recorded evaluation configuration: {"Federated Learning Setting":"Moderate-scale","Number of clients":"100","Participation rate":"5%","Dirichlet parameter":"0.3"}. This record does not assert independent reproduction.

Page 1 of 1. This is an index page, not the full collection.
