FedDF
- Title: Ensemble Distillation for Robust Model Fusion in Federated Learning
- Venue: NeurIPS 2020
- Link to paper: Ensemble Distillation for Robust Model Fusion in Federated Learning
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Summer of Reproducibilityonflower.dev/summer
All available baselines are listed in the Summer of Reproducibility Dashboard and also in the GitHub Issues with the
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It is advised to complete these steps before your start working on your code. But if you can’t wait to implement your baseline with Flower (we totally understand it
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What follows are the steps 1 & 2 in the Summer of Reproducibility instructions.
1. Join the Summer of Reproducibility program
- Join the Flower Slack and say “hi!
” in the channel #summer-of-reproducibility. - Pick a baseline from our curated list <---------------------------------------- [you are doing this now]
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What are you going to reproduce? Add a comment to your issue and tell us about your plan regarding this baseline: what experiments from the paper are you reproducing?, for which datasets ? the more details you provide us with the better !
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We will discuss with you about your contribution plan, if it sounds like a substantial enough contribution according to the Summer of Reproducibility rules (check our website flower.dev/summer), you’ll get the OK from us to start working on your baseline!
What happens next?
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This item will be moved to the
In Progressstage by a member of the Flower Team. -
Follow the instructions for creating a new baseline which will guide you through the process step-by-step.
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