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Next Word Prediction on Stackoverflow (test)

99Test AccuracyNon-DP
78.09683.52388.9594.377May 13, 2026

Evaluation results

MethodLinks
Non-DPModel=BERT2026.0599———
Pub. KFACModel=BERT, epsilon=10, Mode=Public data preconditioner2026.0598.3———
Pub. KFACModel=BERT, epsilon=8, Mode=Public data preconditioner2026.0598.2———
Pub. KFACModel=BERT, epsilon=5, Mode=Public data preconditioner2026.0598.1———
Pub. KFACModel=BERT, epsilon=3, Mode=Public data preconditioner2026.0597.9———
Pub. KFACModel=BERT, epsilon=2, Mode=Public data preconditioner2026.0597.5———
Syn. KFACModel=BERT, epsilon=10, Mode=Synthetic noise2026.0596.6———
Syn. KFACModel=BERT, epsilon=8, Mode=Synthetic noise2026.0596.5———
Syn. KFACModel=BERT, epsilon=5, Mode=Synthetic noise2026.0596.4———
Pub. KFACModel=BERT, epsilon=1, Mode=Public data preconditioner2026.0596.1———
Syn. KFACModel=BERT, epsilon=3, Mode=Synthetic noise2026.0595.9———
Syn. KFACModel=BERT, epsilon=2, Mode=Synthetic noise2026.0595.4———
DP-SGDModel=BERT, epsilon=102026.0594.8———
DP-SGDModel=BERT, epsilon=82026.0594.6———
DP-SGDModel=BERT, epsilon=52026.0594.2———
DP-SGDModel=BERT, epsilon=32026.0593.6———
DP-SGDModel=BERT, epsilon=22026.0592.9———
Syn. KFACModel=BERT, epsilon=1, Mode=Synthetic noise2026.0591.8———
Pub. KFACModel=BERT, epsilon=0.5, Mode=Public data preconditioner2026.0589.8———
DP-SGDModel=BERT, epsilon=12026.0589.5———
Syn. KFACModel=BERT, epsilon=0.5, Mode=Synthetic noise2026.0581.3———
DP-SGDModel=BERT, epsilon=0.52026.0578.9———
APFL2022.11—69.66——
APFL2022.11——22.9625.7
DITTO2022.11—74.59——
DITTO2022.11——22.5924.36
FEDAVG2022.11——23.15—
FEDAVGFT2022.11—79.26——
FEDAVGFT2022.11——23.8324.41
FEDREP2022.11—91.53——
FEDREP2022.11——18.9221.04
Flow2022.11—92.74——
Flow2022.11——26.6429.49
HYPCLUSTER2022.11—80.46——
HYPCLUSTER2022.11——23.7522.43
KNNPER2022.11—82.73——
KNNPER2022.11——23.1624.49
LGFEDAVG2022.11—83.47——
LGFEDAVG2022.11——22.6124.03
LOCAL2022.11———15.93