# Image Classification on MNIST LeNet (test) Source: [Image Classification on MNIST LeNet (test)]() Collection index: [llms.txt]() Data updated: 2026-05-28T07:21:26.454Z Evaluation of Image Classification performance on the MNIST test set, specifically reporting results obtained using the LeNet architecture. 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) | MNIST LeNet (test) | | 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 | | --- | --- | --- | --- | | Federated Learning | 97.42 | Not recorded | 6a17cbe7dbd7150506f81153 | | HEAL | 96.87 | Not recorded | 6a17cbe7dbd7150506f81153 | | FedLay | 96.39 | Not recorded | 6a17cbe7dbd7150506f81153 | | Chord | 95.42 | Not recorded | 6a17cbe7dbd7150506f81153 | | Ring | 94.99 | Not recorded | 6a17cbe7dbd7150506f81153 | | Gaia | 94.42 | Not recorded | 6a17cbe7dbd7150506f81153 | | Epidemic Learning | 91.11 | Not recorded | 6a17cbe7dbd7150506f81153 | | Gossip Learning | 70.98 | Not recorded | 6a17cbe7dbd7150506f81153 | ### Federated Learning Accuracy: 97.42. Result ID: 6a17ebc2fbc373592c113756. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"LeNet","Evaluation Scenario":"fault and churn free scenario"}. This record does not assert independent reproduction. ### HEAL Accuracy: 96.87. Result ID: 6a17ebc2fbc373592c11375d. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"LeNet","Evaluation Scenario":"fault and churn free scenario","Overlay config":"5 hubs, each node sends to one hub"}. This record does not assert independent reproduction. ### FedLay Accuracy: 96.39. Result ID: 6a17ebc2fbc373592c11375c. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"LeNet","Evaluation Scenario":"fault and churn free scenario"}. This record does not assert independent reproduction. ### Chord Accuracy: 95.42. Result ID: 6a17ebc2fbc373592c11375b. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"LeNet","Evaluation Scenario":"fault and churn free scenario"}. This record does not assert independent reproduction. ### Ring Accuracy: 94.99. Result ID: 6a17ebc2fbc373592c11375a. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"LeNet","Evaluation Scenario":"fault and churn free scenario"}. This record does not assert independent reproduction. ### Gaia Accuracy: 94.42. Result ID: 6a17ebc2fbc373592c113757. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"LeNet","Evaluation Scenario":"fault and churn free scenario"}. This record does not assert independent reproduction. ### Epidemic Learning Accuracy: 91.11. Result ID: 6a17ebc2fbc373592c113759. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"LeNet","Evaluation Scenario":"fault and churn free scenario"}. This record does not assert independent reproduction. ### Gossip Learning Accuracy: 70.98. Result ID: 6a17ebc2fbc373592c113758. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"LeNet","Evaluation Scenario":"fault and churn free scenario"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.