FjORD

[jafermarq]

FjORD

• Title: FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout
• Venue: NeurIPS 2021
• Link to paper: https://openreview.net/forum?id=4fLr7H5D_eT

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[stevelaskaridis]

Hi,

@SamuelHorvath and I (@stevelaskaridis) would like to implement FjORD for replicating the experiments in Figure 5 in the paper.

Contribution plan

We are planning to implement the following:

• Ordered Dropout, with and without KD
• Client tiering (5 tiers)
• Datasets: FEMNIST and CIFAR-10

Contributions will be jointly done.

Eligibility

Both of us are located in eligible countries and sum is expected to be shared equally amongst participants.

[jafermarq]

Hi @stevelaskaridis and @SamuelHorvath, the plan sounds good! Thanks for the details and for confirming the point about reward eligibility. I've now ✅ all points above for Step 1&2, if you follow the link in the What happens next? section, you'll see a guide on how to start working on your baseline. Feel free to reach out to me over Slack if you have some questions or if you encounter some issues.

I have you (@stevelaskaridis) as assignee. @SamuelHorvath, apparently i can only add you as assignee if you write a comment in this issue. Totally up to you if you want to do this.

Looking forward to seeing FjORD in action! 🙌

[SamuelHorvath]

I can confirm.

[jafermarq]

Congratulations @stevelaskaridis @SamuelHorvath your baseline has been merged. We'll follow up with you soon to complete your Summer of Reproducibility journey 😄 !