# Image Classification on CIFAR10 (test) (Alpha-Weighted Accuracy) Source: [Image Classification on CIFAR10 (test) (Alpha-Weighted Accuracy)]() Collection index: [llms.txt]() Data updated: 2026-03-16T08:54:50.297Z Evaluation of Image Classification performance on the CIFAR-10 test set, reporting accuracy metrics weighted by specific alpha parameters (0.1, 1.0, and 10.0). 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) | CIFAR10 (test) | | Metric | Accuracy (alpha=0.1) | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 12 of 12 | | 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 (alpha=0.1)](): Higher is better; unit: PERCENT. - [Accuracy (alpha=1.0)](): Higher is better; unit: PERCENT. - [Accuracy (alpha=10.0)](): Higher is better; unit: PERCENT. ## Recorded results | Method | Accuracy (alpha=0.1) | Result date | Report paper | | --- | --- | --- | --- | | FedProx | 74.08 | Not recorded | 69b78e580636e5bf4afbda03 | | FedAvg | 73.57 | Not recorded | 69b78e580636e5bf4afbda03 | | CA-HFP | 73.12 | Not recorded | 69b78e580636e5bf4afbda03 | | FedProx | 58.48 | Not recorded | 69b78e580636e5bf4afbda03 | | CA-HFP | 55.98 | Not recorded | 69b78e580636e5bf4afbda03 | | FedAvg | 55.71 | Not recorded | 69b78e580636e5bf4afbda03 | | FedMP | 54.89 | Not recorded | 69b78e580636e5bf4afbda03 | | PruneFL | 54.48 | Not recorded | 69b78e580636e5bf4afbda03 | | PruneFL | 54.37 | Not recorded | 69b78e580636e5bf4afbda03 | | DapperFL | 53.18 | Not recorded | 69b78e580636e5bf4afbda03 | | DapperFL | 51.6 | Not recorded | 69b78e580636e5bf4afbda03 | | FedMP | 43.55 | Not recorded | 69b78e580636e5bf4afbda03 | ### FedProx Accuracy (alpha=0.1): 74.08. Result ID: 69b7c54347f34ce9249f8b69. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"VGG 16","Parameters Up /Down":"15.1 /15.1 M","FLOPs":"20.2 G","Sys. Heter.":"×"}. This record does not assert independent reproduction. ### FedAvg Accuracy (alpha=0.1): 73.57. Result ID: 69b7c54347f34ce9249f8b68. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"VGG 16","Parameters Up /Down":"15.1 /15.1 M","FLOPs":"40.3 G","Sys. Heter.":"×"}. This record does not assert independent reproduction. ### CA-HFP Accuracy (alpha=0.1): 73.12. Result ID: 69b7c54347f34ce9249f8b6d. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"VGG 16","Parameters Up /Down":"3.95 /3.95 M","FLOPs":"10.2 G","Sys. Heter.":"✓"}. This record does not assert independent reproduction. ### FedProx Accuracy (alpha=0.1): 58.48. Result ID: 69b7c54347f34ce9249f8b6f. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Resnet 32","Parameters Up /Down":"466 /466 K","FLOPs":"4.45 G","Sys. Heter.":"×"}. This record does not assert independent reproduction. ### CA-HFP Accuracy (alpha=0.1): 55.98. Result ID: 69b7c54347f34ce9249f8b73. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Resnet 32","Parameters Up /Down":"254 /254 K","FLOPs":"5.20 G","Sys. Heter.":"✓"}. This record does not assert independent reproduction. ### FedAvg Accuracy (alpha=0.1): 55.71. Result ID: 69b7c54347f34ce9249f8b6e. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Resnet 32","Parameters Up /Down":"466 /466 K","FLOPs":"9.01 G","Sys. Heter.":"×"}. This record does not assert independent reproduction. ### FedMP Accuracy (alpha=0.1): 54.89. Result ID: 69b7c54347f34ce9249f8b6b. [Reporting paper]() Recorded evaluation configuration: {"Model":"VGG 16","Parameters Up /Down":"3.95 /3.95 M","FLOPs":"10.2 G","Sys. Heter.":"✓"}. This record does not assert independent reproduction. ### PruneFL Accuracy (alpha=0.1): 54.48. Result ID: 69b7c54347f34ce9249f8b6a. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"VGG 16","Parameters Up /Down":"4.30 /4.30 M","FLOPs":"20.1 G","Sys. Heter.":"×"}. This record does not assert independent reproduction. ### PruneFL Accuracy (alpha=0.1): 54.37. Result ID: 69b7c54347f34ce9249f8b70. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Resnet 32","Parameters Up /Down":"261 /261 K","FLOPs":"5.45 G","Sys. Heter.":"×"}. This record does not assert independent reproduction. ### DapperFL Accuracy (alpha=0.1): 53.18. Result ID: 69b7c54347f34ce9249f8b72. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"Resnet 32","Parameters Up /Down":"254 /466 K","FLOPs":"5.23 G","Sys. Heter.":"✓"}. This record does not assert independent reproduction. ### DapperFL Accuracy (alpha=0.1): 51.6. Result ID: 69b7c54347f34ce9249f8b6c. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"VGG 16","Parameters Up /Down":"3.95 /15.1 M","FLOPs":"10.3 G","Sys. Heter.":"✓"}. This record does not assert independent reproduction. ### FedMP Accuracy (alpha=0.1): 43.55. Result ID: 69b7c54347f34ce9249f8b71. [Reporting paper]() Recorded evaluation configuration: {"Model":"Resnet 32","Parameters Up /Down":"254 /254 K","FLOPs":"5.20 G","Sys. Heter.":"✓"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.