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Benchmarks
Classification on Federated Learning Convergence Non-IID Dir. α = 0.1 (train)
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264
R95 Convergence
SafeLM+FedProx
261.2
280.1
299
317.9
Apr 17, 2026
R95 Convergence
R98 Convergence
Accuracy
Total Size (GB)
Updated 1mo ago
Evaluation Results
Method
Method
Links
R95 Convergence
R98 Convergence
Accuracy
Total Size (GB)
SafeLM+FedProx
K=50, Distribution=Dir...
2026.04
264
563
95.1
7.88
SafeLM
K=50, Distribution=Dir...
2026.04
287
612
94.2
8.57
FedAvg
K=50, Distribution=Dir...
2026.04
312
687
93.8
309.15
signSGD
K=50, Distribution=Dir...
2026.04
334
721
92.1
10.16
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