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ResearchFormerly WizWand

Image Classification on FashionMNIST (IID)

90.6AccuracyFedAvg
80.064882.799985.53588.2701Aug 20, 2025Oct 4, 2025Nov 19, 2025Jan 4, 2026Feb 18, 2026Apr 5, 2026May 21, 2026
Updated 5mo ago

Evaluation results

MethodLinks
FedAvgCluster size Nm=10, Local epoch K=5, Mini-batch size=64, Backbone=6-layer CNN2026.0390.6
EdgeFLowSeqCluster size Nm=10, Local epoch K=5, Mini-batch size=64, Backbone=6-layer CNN2026.0390.53
EdgeFLowRandCluster size Nm=10, Local epoch K=5, Mini-batch size=64, Backbone=6-layer CNN2026.0390.13
EdgeFD2025.0889.9
FedAvgN (Number of clients)=10, R (Communication rounds)=302026.0589.38
IndLearn2025.0888.8
FedRepN (Number of clients)=10, R (Communication rounds)=302026.0588.22
FibFL++N (Number of clients)=10, R (Communication rounds)=302026.0587.88
FedMD2025.0887.25
Selective-FD2025.0887.16
FedED2025.0886.88
DS-FL2025.0886.62
PLS2025.0886.52
FKD2025.0886.14
RDFLN (Number of clients)=10, R (Communication rounds)=302026.0585.11
FibFL+N (Number of clients)=10, R (Communication rounds)=302026.0581.34
FibFLN (Number of clients)=10, R (Communication rounds)=302026.0580.47