ResearchBenchmarksRoad Condition Classification on Material (test)Road Condition Classification on Material (test)Follow80.36Global AccuracyFedAvg-NA64.957668.956372.95576.9537Dec 5, 2025Evaluation resultsMethodMethodLinksGlobal AccuracySRecASRFedAvg-NABackbone=ResNet-18, At...Backbone=ResNet-18, Attack Scenario=No Attack2025.1280.3682.243.07DEFENDBackbone=ResNet-18, At...Backbone=ResNet-18, Attack Scenario=TLFA2025.1278.6180.112.88DEFENDBackbone=EfficientNet-...Backbone=EfficientNet-B1, Attack Scenario=TLFA2025.1277.8782.993.31DEFENDBackbone=Deit-Tiny, At...Backbone=Deit-Tiny, Attack Scenario=TLFA2025.1265.5582.114.75