# Image Classification on CIFAR-100 (beta=0.5) Source: [Image Classification on CIFAR-100 (beta=0.5)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:30:30.469Z Evaluation of Image Classification performance on the CIFAR-100 dataset configured with a beta parameter of 0.5, reporting Accuracy. 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 (beta=0.5) | | Metric | Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 8 of 8 | | 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](): Higher is better; unit: PERCENT. ## Recorded results | Method | Accuracy | Result date | Report paper | | --- | --- | --- | --- | | GGEUR | 83.31 | Not recorded | 68fa78581e209131cea77deb | | FedFA (CLIP+MLP) | 81.98 | Not recorded | 68fa78581e209131cea77deb | | FedAvg (CLIP+MLP) | 81.41 | Not recorded | 68fa78581e209131cea77deb | | FedMix (CLIP+MLP) | 81.31 | Not recorded | 68fa78581e209131cea77deb | | FEDGEN (CLIP+MLP) | 81.24 | Not recorded | 68fa78581e209131cea77deb | | FedCLIP | 72.03 | Not recorded | 68fa78581e209131cea77deb | | FedTPG | 71.4 | Not recorded | 68fa78581e209131cea77deb | | Zero-Shot CLIP | 64.87 | Not recorded | 68fa78581e209131cea77deb | ### GGEUR Accuracy: 83.31. Result ID: 699586c83badfaffe67fb357. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Backbone":"CLIP+MLP","Federated Learning Algorithm":"FedAvg"}. This record does not assert independent reproduction. ### FedFA (CLIP+MLP) Accuracy: 81.98. Result ID: 699586c83badfaffe67fb355. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"CLIP+MLP","Federated Learning Algorithm":"FedFA"}. This record does not assert independent reproduction. ### FedAvg (CLIP+MLP) Accuracy: 81.41. Result ID: 699586c83badfaffe67fb356. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"CLIP+MLP","Federated Learning Algorithm":"FedAvg"}. This record does not assert independent reproduction. ### FedMix (CLIP+MLP) Accuracy: 81.31. Result ID: 699586c83badfaffe67fb353. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"CLIP+MLP","Federated Learning Algorithm":"FedMix"}. This record does not assert independent reproduction. ### FEDGEN (CLIP+MLP) Accuracy: 81.24. Result ID: 699586c83badfaffe67fb354. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"CLIP+MLP","Federated Learning Algorithm":"FEDGEN"}. This record does not assert independent reproduction. ### FedCLIP Accuracy: 72.03. Result ID: 699586c83badfaffe67fb352. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Federated Learning Algorithm":"FedCLIP"}. This record does not assert independent reproduction. ### FedTPG Accuracy: 71.4. Result ID: 699586c83badfaffe67fb351. [Reporting paper]() Recorded evaluation configuration: {"Federated Learning Algorithm":"FedTPG"}. This record does not assert independent reproduction. ### Zero-Shot CLIP Accuracy: 64.87. Result ID: 699586c83badfaffe67fb350. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Backbone":"CLIP","Mode":"Zero-Shot"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.