# Image Classification on CIFAR-100 (20 Personalized Clients)

Source: [Image Classification on CIFAR-100 (20 Personalized Clients)](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-20-personalized-clients>)

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

Data updated: 2026-02-26T05:39:23.639Z

Evaluation of Image Classification performance on CIFAR-100 using a personalized federated learning setup involving 20 distinct clients, reporting individual client accuracies and the overall average.

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 20 clients (personalized) |
| Metric | Client 1 Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 7 of 7 |
| 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

- [Client 1 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-20-personalized-clients.md?metric=Client%201%20Accuracy>): Higher is better; unit: PERCENT.

- [Client 2 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-20-personalized-clients.md?metric=Client%202%20Accuracy>): Higher is better; unit: PERCENT.

- [Client 3 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-20-personalized-clients.md?metric=Client%203%20Accuracy>): Higher is better; unit: PERCENT.

- [Client 4 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-20-personalized-clients.md?metric=Client%204%20Accuracy>): Higher is better; unit: PERCENT.

- [Client 5 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-20-personalized-clients.md?metric=Client%205%20Accuracy>): Higher is better; unit: PERCENT.

- [Client 6 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-20-personalized-clients.md?metric=Client%206%20Accuracy>): Higher is better; unit: PERCENT.

- [Client 7 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-20-personalized-clients.md?metric=Client%207%20Accuracy>): Higher is better; unit: PERCENT.

- [Client 8 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-20-personalized-clients.md?metric=Client%208%20Accuracy>): Higher is better; unit: PERCENT.

- [Client 9 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-20-personalized-clients.md?metric=Client%209%20Accuracy>): Higher is better; unit: PERCENT.

- [Client 10 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-20-personalized-clients.md?metric=Client%2010%20Accuracy>): Higher is better; unit: PERCENT.

- [Client 11 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-20-personalized-clients.md?metric=Client%2011%20Accuracy>): Higher is better; unit: PERCENT.

- [Client 12 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-20-personalized-clients.md?metric=Client%2012%20Accuracy>): Higher is better; unit: PERCENT.

- [Client 13 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-20-personalized-clients.md?metric=Client%2013%20Accuracy>): Higher is better; unit: PERCENT.

- [Client 14 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-20-personalized-clients.md?metric=Client%2014%20Accuracy>): Higher is better; unit: PERCENT.

- [Client 15 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-20-personalized-clients.md?metric=Client%2015%20Accuracy>): Higher is better; unit: PERCENT.

- [Client 16 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-20-personalized-clients.md?metric=Client%2016%20Accuracy>): Higher is better; unit: PERCENT.

- [Client 17 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-20-personalized-clients.md?metric=Client%2017%20Accuracy>): Higher is better; unit: PERCENT.

- [Client 18 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-20-personalized-clients.md?metric=Client%2018%20Accuracy>): Higher is better; unit: PERCENT.

- [Client 19 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-20-personalized-clients.md?metric=Client%2019%20Accuracy>): Higher is better; unit: PERCENT.

- [Client 20 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-20-personalized-clients.md?metric=Client%2020%20Accuracy>): Higher is better; unit: PERCENT.

- [Average Accuracy](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-20-personalized-clients.md?metric=Average%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Client 1 Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| FedDPA | 67.41 | Not recorded | 699d30956017c4460ffab499 |
| Local | 63.53 | Not recorded | 699d30956017c4460ffab499 |
| POTARA | 62.39 | Not recorded | 699d30956017c4460ffab499 |
| Fisher Merging | 62 | Not recorded | 699d30956017c4460ffab499 |
| FedSA | 61.28 | Not recorded | 699d30956017c4460ffab499 |
| FedIT | 59.52 | Not recorded | 699d30956017c4460ffab499 |
| FFA-LoRA | 44.37 | Not recorded | 699d30956017c4460ffab499 |

### FedDPA

Client 1 Accuracy: 67.41. Result ID: 699e268f5698665ec4e11f58.

[Reporting paper](<https://www.sota2.com/research/paper/699d30956017c4460ffab499.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75fe1e209131cea6acc4.md>)

[Implementation](<https://github.com/Lydia-yang/FedDPA>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### Local

Client 1 Accuracy: 63.53. Result ID: 699e268f5698665ec4e11f54.

[Reporting paper](<https://www.sota2.com/research/paper/699d30956017c4460ffab499.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b121e209131cea2bf59.md>)

[Implementation](<https://github.com/microsoft/LoRA>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### POTARA

Client 1 Accuracy: 62.39. Result ID: 699e268f5698665ec4e11f5a.

[Reporting paper](<https://www.sota2.com/research/paper/699d30956017c4460ffab499.md>)

[Method origin paper](<https://www.sota2.com/research/paper/699d30956017c4460ffab499.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### Fisher Merging

Client 1 Accuracy: 62. Result ID: 699e268f5698665ec4e11f59.

[Reporting paper](<https://www.sota2.com/research/paper/699d30956017c4460ffab499.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d491e209131cea38c5f.md>)

[Implementation](<https://github.com/mmatena/model_merging>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### FedSA

Client 1 Accuracy: 61.28. Result ID: 699e268f5698665ec4e11f56.

[Reporting paper](<https://www.sota2.com/research/paper/699d30956017c4460ffab499.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa778f1e209131cea73e6e.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### FedIT

Client 1 Accuracy: 59.52. Result ID: 699e268f5698665ec4e11f57.

[Reporting paper](<https://www.sota2.com/research/paper/699d30956017c4460ffab499.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa72011e209131cea54172.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### FFA-LoRA

Client 1 Accuracy: 44.37. Result ID: 699e268f5698665ec4e11f55.

[Reporting paper](<https://www.sota2.com/research/paper/699d30956017c4460ffab499.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa728f1e209131cea57138.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

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