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QinbinLi
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MOON
Model-Contrastive Federated Learning (CVPR 2021)
MIT License
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CPU usage reaches 100%, while the GPU (NVIDIA GeForce RTX 3060) only uses 1.2GB of memory.
#24
YANGTUOMAO
opened
1 month ago
2
Hi,
#23
judge-x
closed
6 months ago
2
getting debug message
#22
SoumyaR-anjan
opened
9 months ago
1
Convergence theory analysis
#21
li200005
closed
1 year ago
1
Questions about the reported test accuracy.
#20
Codefmeister
closed
1 year ago
2
Processing of Datasets
#19
junzhang-zj
closed
1 year ago
2
Question about dirichlet non-iid
#18
boyufan
closed
2 years ago
2
Why does the program keep showing“Files already downloaded and verified”
#17
xuan240
closed
2 years ago
6
About w_i^t in paper.
#16
dongdongzhaoUP
closed
2 years ago
1
About the model Resnet50
#15
Skye601
closed
2 years ago
3
About the contrastive loss
#14
Tam-JQK
closed
2 years ago
1
question of compute_accuracy
#13
18811449050
closed
2 years ago
4
Questions about settings of negative samples
#12
zzu20172430507
closed
2 years ago
2
The code seems inconsistent with the algoritm in paper
#11
nmnguyensg
closed
2 years ago
1
Questions about SCAFFOLD code
#10
knight-fzq
closed
2 years ago
2
L2 norm code issue
#9
zhangyuanying421
closed
2 years ago
2
Same label for positive and negative cases
#8
nthhiep
closed
2 years ago
1
Questions about T-SNE
#7
knight-fzq
closed
2 years ago
3
Time for Training on CIFAR-100 and Tiny-ImageNet
#6
jiachangliu
closed
3 years ago
2
why we need to requires_grad=True for batch input, which (not sure) may lead to out of memory error.
#5
SunTongtongtong
closed
3 years ago
1
Some questions about the metrics.
#4
ddghjikle
closed
3 years ago
5
For tinyimagenet, the test acc is very low, 0.009
#3
rambo-coder
closed
3 years ago
4
Question about FedAvg code
#2
Grassyue
closed
3 years ago
3
Quesiton for code
#1
xutting123
closed
3 years ago
1