# Image Classification on CIFAR100 (test) (Alpha-Weighted Accuracy) Source: [Image Classification on CIFAR100 (test) (Alpha-Weighted Accuracy)]() Collection index: [llms.txt]() Data updated: 2026-03-16T08:54:50.327Z Evaluation of Image Classification performance on the CIFAR-100 test set, reporting accuracy metrics weighted by specific alpha factors (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) | CIFAR100 (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 | | --- | --- | --- | --- | | DapperFL | 58.32 | Not recorded | 69b78e580636e5bf4afbda03 | | CA-HFP | 56.27 | Not recorded | 69b78e580636e5bf4afbda03 | | FedProx | 50.01 | Not recorded | 69b78e580636e5bf4afbda03 | | FedAvg | 49.21 | Not recorded | 69b78e580636e5bf4afbda03 | | CA-HFP | 38.41 | Not recorded | 69b78e580636e5bf4afbda03 | | PruneFL | 38.12 | Not recorded | 69b78e580636e5bf4afbda03 | | DapperFL | 37.77 | Not recorded | 69b78e580636e5bf4afbda03 | | PruneFL | 36.8 | Not recorded | 69b78e580636e5bf4afbda03 | | FedAvg | 36.37 | Not recorded | 69b78e580636e5bf4afbda03 | | FedMP | 35.97 | Not recorded | 69b78e580636e5bf4afbda03 | | FedProx | 35.9 | Not recorded | 69b78e580636e5bf4afbda03 | | FedMP | 26.55 | Not recorded | 69b78e580636e5bf4afbda03 | ### DapperFL Accuracy (alpha=0.1): 58.32. Result ID: 69b7c54347f34ce9249f8b78. [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. ### CA-HFP Accuracy (alpha=0.1): 56.27. Result ID: 69b7c54347f34ce9249f8b79. [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): 50.01. Result ID: 69b7c54347f34ce9249f8b75. [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): 49.21. Result ID: 69b7c54347f34ce9249f8b74. [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): 38.41. Result ID: 69b7c54347f34ce9249f8b7f. [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. ### PruneFL Accuracy (alpha=0.1): 38.12. Result ID: 69b7c54347f34ce9249f8b7c. [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): 37.77. Result ID: 69b7c54347f34ce9249f8b7e. [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. ### PruneFL Accuracy (alpha=0.1): 36.8. Result ID: 69b7c54347f34ce9249f8b76. [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. ### FedAvg Accuracy (alpha=0.1): 36.37. Result ID: 69b7c54347f34ce9249f8b7a. [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): 35.97. Result ID: 69b7c54347f34ce9249f8b77. [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. ### FedProx Accuracy (alpha=0.1): 35.9. Result ID: 69b7c54347f34ce9249f8b7b. [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. ### FedMP Accuracy (alpha=0.1): 26.55. Result ID: 69b7c54347f34ce9249f8b7d. [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.