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Intrusion Detection on UNSW-NB15 (test)

95.29F1 ScoreImp.1: XGBoost-BalSamp
55.021265.475675.9386.3844Dec 29, 2025Jan 22, 2026Feb 15, 2026Mar 12, 2026Apr 5, 2026Apr 29, 2026May 24, 2026

Evaluation results

MethodLinks
Imp.1: XGBoost-BalSampCategory=Our Improvements, Params=—2026.0595.2995.4595.2695.33———
BrierBase Learners=LightGBM/CatBoost/XGBoost/RF/MLP, Feature Partition Size=60%, Seeds=10, Agents=52026.0595.1——95.74.3——
ExternalityBase Learners=LightGBM/CatBoost/XGBoost/RF/MLP, Feature Partition Size=60%, Seeds=10, Agents=52026.0595.1——95.74.3——
Conf-WeightedBase Learners=LightGBM/CatBoost/XGBoost/RF/MLP, Feature Partition Size=60%, Seeds=10, Agents=52026.0595.1——95.74.3——
Log-OddsBase Learners=LightGBM/CatBoost/XGBoost/RF/MLP, Feature Partition Size=60%, Seeds=10, Agents=52026.0595.1——95.84.3——
Stacking-LRBase Learners=LightGBM/CatBoost/XGBoost/RF/MLP, Feature Partition Size=60%, Seeds=10, Agents=5, Stacking=3-fold cross-validation2026.0595.1——95.14.9——
Stacking-MLPBase Learners=LightGBM/CatBoost/XGBoost/RF/MLP, Feature Partition Size=60%, Seeds=10, Agents=5, Stacking=3-fold cross-validation2026.0595.1——94.55.5——
Majority VoteBase Learners=LightGBM/CatBoost/XGBoost/RF/MLP, Feature Partition Size=60%, Seeds=10, Agents=52026.0595——95.44.6——
VCG (Ours)Base Learners=LightGBM/CatBoost/XGBoost/RF/MLP, Feature Partition Size=60%, Seeds=10, Agents=52026.0594.8——95.94.1——
ZTA-FL2025.1294.695.2—————
Best IndividualBase Learners=LightGBM/CatBoost/XGBoost/RF/MLP, Feature Partition Size=60%, Seeds=10, Agents=52026.0594.2——96.33.7——
FLAME2025.1293.393.9—————
FLTrust2025.1292.993.5—————
FedProx2025.1291.792.3—————
Imp.2+3+4: PseudoFilter + MixupAug + LiteAECategory=Our Improvements, Params=29,8302026.0591.4590.8894.4288.67———
Imp.2+3: PseudoFilter + MixupAugCategory=Our Improvements, Params=67,2022026.0591.290.6—————
Imp.2: PseudoFilter onlyCategory=Our Improvements, Params=67,2022026.0590.9690.4494.9287.31———
FedAvg2025.1290.891.4—————
Imp.2+4: PseudoFilter + LiteAECategory=Our Improvements, Params=29,8302026.0590.790.2—————
Imp.3: MixupAug onlyCategory=Our Improvements, Params=67,2022026.0590.589.8—————
AOC-IDS Published [8]Category=Base System (AOC-IDS), Params=67,2022026.0590.1489.1990.6589.7———
AOC-IDS Our ReplicationCategory=Base System (AOC-IDS), Params=67,2022026.0590.1289.3990.4889.85———
Krum2025.1290.190.7—————
Imp.4: LiteAE onlyCategory=Our Improvements, Params=29,8302026.0589.888.5—————
XGBoost (Online)Category=Baselines models (from [8]), Params=—2026.0589.2686.9782.8598.29———
FedEPDistribution=non-IID, Client Nodes=202026.0288.9783.3182.17973——
RF (Online)Category=Baselines models (from [8]), Params=—2026.0588.5585.9380.2598.75———
DTC (Online)Category=Baselines models (from [8]), Params=—2026.0588.1585.9582.3294.86———
FedPGDistribution=non-IID, Client Nodes=202026.0287.280.9381.5893.666.34——
CIDSCategory=Baselines models (from [8]), Params=—2026.0586.0382.6178.9196.28———
FeCoCategory=Baselines models (from [8]), Params=—2026.0568.9372.591.1855.41———
Khan et al.2026.0259.7365.3869.6954.34———
Mohamed et al.2026.0256.5766.0776.0146.34———
CMDNumber of features=40, Classifier=3-hidden-layer MLP2026.06—————36.46—
Fisher ScoreNumber of features=40, Classifier=3-hidden-layer MLP2026.06—————36.52—
Mutual InformationNumber of features=40, Classifier=3-hidden-layer MLP2026.06—————36.7—
nCMDNumber of features=40, Classifier=3-hidden-layer MLP2026.06—————37.4—
Pearson CorrelationNumber of features=40, Classifier=3-hidden-layer MLP2026.06—————32.46—
QCL-IDSevaluation_protocol=Reported values (approximate reference)2026.07——————94.1
RES-DAREevaluation_protocol=Standard pipeline reproduction2026.07——————98.04
Variance ThresholdNumber of features=40, Classifier=3-hidden-layer MLP2026.06—————34.36—