# Image Classification on FMNIST (test) with Alpha-Weighted Accuracy Source: [Image Classification on FMNIST (test) with Alpha-Weighted Accuracy]() Collection index: [llms.txt]() Data updated: 2026-03-16T08:54:50.267Z Evaluation of Image Classification performance on the test split of the Fashion MNIST dataset, specifically reporting accuracy metrics weighted by alpha values (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) | FMNIST (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 | | --- | --- | --- | --- | | FedAvg | 89.02 | Not recorded | 69b78e580636e5bf4afbda03 | | CA-HFP | 89 | Not recorded | 69b78e580636e5bf4afbda03 | | FedProx | 86.65 | Not recorded | 69b78e580636e5bf4afbda03 | | FedProx | 85.46 | Not recorded | 69b78e580636e5bf4afbda03 | | CA-HFP | 80.9 | Not recorded | 69b78e580636e5bf4afbda03 | | FedAvg | 80.8 | Not recorded | 69b78e580636e5bf4afbda03 | | PruneFL | 77.08 | Not recorded | 69b78e580636e5bf4afbda03 | | PruneFL | 73.9 | Not recorded | 69b78e580636e5bf4afbda03 | | DapperFL | 73.53 | Not recorded | 69b78e580636e5bf4afbda03 | | FedMP | 73.34 | Not recorded | 69b78e580636e5bf4afbda03 | | FedMP | 67.49 | Not recorded | 69b78e580636e5bf4afbda03 | | DapperFL | 59.6 | Not recorded | 69b78e580636e5bf4afbda03 | ### FedAvg Accuracy (alpha=0.1): 89.02. Result ID: 69b7c54347f34ce9249f8b5c. [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): 89. Result ID: 69b7c54347f34ce9249f8b61. [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): 86.65. Result ID: 69b7c54347f34ce9249f8b63. [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. ### FedProx Accuracy (alpha=0.1): 85.46. Result ID: 69b7c54347f34ce9249f8b5d. [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. ### CA-HFP Accuracy (alpha=0.1): 80.9. Result ID: 69b7c54347f34ce9249f8b67. [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): 80.8. Result ID: 69b7c54347f34ce9249f8b62. [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. ### PruneFL Accuracy (alpha=0.1): 77.08. Result ID: 69b7c54347f34ce9249f8b5e. [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): 73.9. Result ID: 69b7c54347f34ce9249f8b64. [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): 73.53. Result ID: 69b7c54347f34ce9249f8b66. [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. ### FedMP Accuracy (alpha=0.1): 73.34. Result ID: 69b7c54347f34ce9249f8b5f. [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. ### FedMP Accuracy (alpha=0.1): 67.49. Result ID: 69b7c54347f34ce9249f8b65. [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. ### DapperFL Accuracy (alpha=0.1): 59.6. Result ID: 69b7c54347f34ce9249f8b60. [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. Page 1 of 1. This is an index page, not the full collection.