# Image Classification on Tiny-ImageNet (500R/1000R Accuracy & Rounds) Source: [Image Classification on Tiny-ImageNet (500R/1000R Accuracy & Rounds)]() Collection index: [llms.txt]() Data updated: 2026-02-27T09:04:33.042Z Evaluation of Image Classification performance on the Tiny-ImageNet dataset, measuring accuracy under specific round constraints (500R, 1000R) and the number of rounds required to achieve target accuracies. 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) | Tiny-ImageNet | | Metric | Accuracy (500R) | | 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 (500R)](): Higher is better; unit: PERCENT. - [Accuracy (1000R)](): Higher is better; unit: PERCENT. - [Rounds to 35% Acc Target](): Lower is better; unit: TIME. - [Rounds to 38% Acc Target](): Lower is better; unit: TIME. ## Recorded results | Method | Accuracy (500R) | Result date | Report paper | | --- | --- | --- | --- | | FedACG | 42.26 | Not recorded | 68fa72b01e209131cea57eb7 | | FedDC‡ | 40.32 | Not recorded | 68fa72b01e209131cea57eb7 | | FedDyn | 37.35 | Not recorded | 68fa72b01e209131cea57eb7 | | FedMLB | 37.2 | Not recorded | 68fa72b01e209131cea57eb7 | | MOON | 36.62 | Not recorded | 68fa72b01e209131cea57eb7 | | FedAvgM | 36.32 | Not recorded | 68fa72b01e209131cea57eb7 | | FedLC | 35.03 | Not recorded | 68fa72b01e209131cea57eb7 | | FedProx | 34.14 | Not recorded | 68fa72b01e209131cea57eb7 | | FedAvg | 33.94 | Not recorded | 68fa72b01e209131cea57eb7 | | FedNTD | 33.91 | Not recorded | 68fa72b01e209131cea57eb7 | | FedDecorr | 33.4 | Not recorded | 68fa72b01e209131cea57eb7 | | FedADAM | 33.22 | Not recorded | 68fa72b01e209131cea57eb7 | | FedCM† | 31.61 | Not recorded | 68fa72b01e209131cea57eb7 | ### FedACG Accuracy (500R): 42.26. Result ID: 69a15e1b35dfcabb00e69627. [Reporting paper]() [Method origin paper]() [Implementation]() 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 (500R): 40.32. Result ID: 69a15e1b35dfcabb00e69625. [Reporting paper]() [Method origin paper]() [Implementation]() 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 (500R): 37.35. Result ID: 69a15e1b35dfcabb00e6961f. [Reporting paper]() [Method origin paper]() 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 (500R): 37.2. Result ID: 69a15e1b35dfcabb00e69622. [Reporting paper]() [Method origin paper]() 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 (500R): 36.62. Result ID: 69a15e1b35dfcabb00e69620. [Reporting paper]() [Method origin paper]() [Implementation]() 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 (500R): 36.32. Result ID: 69a15e1b35dfcabb00e6961d. [Reporting paper]() [Method origin paper]() 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 (500R): 35.03. Result ID: 69a15e1b35dfcabb00e69623. [Reporting paper]() [Method origin paper]() 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 (500R): 34.14. Result ID: 69a15e1b35dfcabb00e6961c. [Reporting paper]() [Method origin paper]() 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 (500R): 33.94. Result ID: 69a15e1b35dfcabb00e6961b. [Reporting paper]() [Method origin paper]() 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 (500R): 33.91. Result ID: 69a15e1b35dfcabb00e69624. [Reporting paper]() [Method origin paper]() [Implementation]() 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 (500R): 33.4. Result ID: 69a15e1b35dfcabb00e69626. [Reporting paper]() [Method origin paper]() 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 (500R): 33.22. Result ID: 69a15e1b35dfcabb00e6961e. [Reporting paper]() [Method origin paper]() 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 (500R): 31.61. Result ID: 69a15e1b35dfcabb00e69621. [Reporting paper]() [Method origin paper]() 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.