Example for Custom Metrics calculation during Federated Learning #6036
Triggered via pull request
January 17, 2024 20:25
gubertoli
Status
Cancelled
Total duration
2m 59s
Artifacts
–
e2e.yml
on: pull_request
Build, test and upload wheel
1m 23s
Matrix: frameworks
Matrix: strategies
Annotations
39 errors
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Strategy / FaultTolerantFedAvg
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Framework / jax
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Framework / jax
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Strategy / FedMedian
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Strategy / FedMedian
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Strategy / FedAdam
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Strategy / FedAdam
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Strategy / FedAvgM
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Strategy / FedAvgM
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Strategy / FedYogi
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Strategy / FedYogi
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Strategy / QFedAvg
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Strategy / QFedAvg
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Strategy / FedTrimmedAvg
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Strategy / FedTrimmedAvg
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Framework / tabnet
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Framework / tabnet
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Framework / pytorch
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Framework / pytorch
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Framework / pandas
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Framework / pandas
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Strategy / FedAdagrad
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Strategy / FedAdagrad
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Framework / tensorflow
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Framework / tensorflow
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Framework / mxnet
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Framework / mxnet
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Framework / bare
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Framework / bare
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Framework / scikit-learn
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Framework / scikit-learn
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Framework / opacus
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Framework / opacus
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Framework / bare-https
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Framework / bare-https
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Framework / pytorch-lightning
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Framework / pytorch-lightning
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Framework / fastai
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Framework / fastai
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