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Image Reconstruction on CIFAR-10 (test)

0.007MSEUFSL
-0.006120.082440.1710.25956Jun 27, 2025Aug 5, 2025Sep 14, 2025Oct 23, 2025Dec 2, 2025Jan 10, 2026Feb 19, 2026

Evaluation results

MethodLinks
UFSLNetwork=ResNet182026.020.007———0.949——————
UFSL+DPNetwork=ResNet18, sigma^2=0.22026.020.01———0.922——————
IFCA2025.060.019——————————
CLoVE2025.060.021——————————
Local-only2025.060.022——————————
FedAvg2025.060.026——————————
UFSL+KANetwork=ResNet18, k=32026.020.035———0.752——————
KD-UFSLNetwork=ResNet182026.020.086———0.547——————
KD-UFSLNetwork=ConvNet2026.020.285———0.034——————
UFSLNetwork=ResNet502026.020.292———0.065——————
UFSL+DPNetwork=ResNet50, sigma^2=0.22026.020.306———0.094——————
UFSLNetwork=ConvNet2026.020.307———0.118——————
UFSL+KANetwork=ConvNet, k=32026.020.323———0.034——————
UFSL+DPNetwork=ConvNet, sigma^2=0.22026.020.327———0.108——————
UFSL+KANetwork=ResNet50, k=32026.020.332———0.026——————
KD-UFSLNetwork=ResNet502026.020.335———0.033——————
ALICE2022.03—0.185—————————
BiDVL2022.03—0.168—————————
BP-AdamOptimizer=Adam, Mini-batch size=1, Network Architecture=3072-1024-512-100-512-1024-3072, Training Duration=1 epoch2022.06——1,912.202————————
BP-SGDOptimizer=SGD, Mini-batch size=1, Network Architecture=3072-1024-512-100-512-1024-3072, Training Duration=1 epoch2022.06——1,937.884————————
Cold DiffusionImage State=Degraded Image2022.08—0.078—97.390.937——————
Cold DiffusionImage State=Reconstruction2022.08—0.069—45.740.942——————
Divergence triangle2022.03—0.177—————————
ENF#Param=522K2026.06——————————42.2
Functa#Param=2.6M2026.06——————————38.1
IL-proxOptimizer=Proximal, Mini-batch size=1, Network Architecture=3072-1024-512-100-512-1024-3072, Training Duration=1 epoch2022.06——1,878.463————————
IL-prox fastOptimizer=Proximal (Fast), Mini-batch size=1, Network Architecture=3072-1024-512-100-512-1024-3072, Training Duration=1 epoch2022.06——1,875.899————————
IL-SGDOptimizer=SGD, Mini-batch size=1, Network Architecture=3072-1024-512-100-512-1024-3072, Training Duration=1 epoch2022.06——2,004.062————————
LH-NeF#Param=198K2026.06——————————44.4
PEFTLeakPre-trained Backbone=ViT-B/16 [14], Patch Size=16x16, Bottleneck Dimension (r)=64, Batch Size=32, Input Resolution=32x322025.06————0.740.10.090.110.210.12—
Spatial Functa#Param=425K‡2026.06——————————39
SVAE2022.03—0.258—————————
VAE2022.03—0.192—————————