Scaffnew

[jafermarq]

Scaffnew

• Title: ProxSkip: Yes! Local Gradient Steps Provably Lead to Communication Acceleration! Finally!
• Venue: ICML 2022
• Link to paper: https://proceedings.mlr.press/v162/mishchenko22b.html

Do you want to work on this baseline?

🌻 Check everything about the Summer of Reproducibility on flower.dev/summer

All available baselines are listed in the Summer of Reproducibility Dashboard and also in the GitHub Issues with the summer-of-reproducibility label. The content is the same.

📝 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 😄), please ensure you follow the steps on how to contribute a new baseline.

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]

  2. Define the scope of your contribution

• [ ] 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 !

• [ ] Check if you are eligible for a reward.

  As we have to comply with US/EU regulations, we have checked that individual contributors based on these countries or territories are eligible: Australia, Austria, Belgium, Bulgaria, Canada, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Gibraltar, Greece, Hong Kong SAR China, Hungary, India, Ireland, Italy, Japan, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, Romania, Singapore, Slovakia, Slovenia, South Korea, Spain, Sweden, Switzerland, Thailand, United Arab emirates, United Kingdom United States.

  If where you are based is not on the list, please send us an email (summer@flower.dev) letting us know a bit about yourself (where are you currently based?, are you a university student? do you work at a public institution?). Please tell us the baselines you are interested in implementing (i.e. tell us your GitHub issue if you have crated one). We will reach back to you.

• [ ] 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?

• [ ] This item will be moved to the In Progress stage 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.

Is something wrong or not clear ?

• Ask a question directly in your issue.
• Reach out to us via the Flower Slack and ask your question in the #summer-of-reproducibility channel
• Check all the details (including FAQ) in the Summer of Reproducibility website: flower.dev/summer

[duynht]

Hi @jafermarq. I'm a first-year PhD student in Singapore. I'd like to pick up this issue and reproduce Scaffnew's results in Fig. 1 and Fig.2 w/ logistic regression and LIBSVM w8a dataset.

[jafermarq]

Hi @duynht , thanks for expressing your interest to work on scaffnew. However, this baseline is already In Progress as it is been worked on by Konstantin (the author of the paper).

[konstmish]

I realized that I never posted the plan that we discussed with @jafermarq on Zoom, so here it is.

The proposed experiments:

1. Logistic regression (the experiments that were done in the original work Figures 1,2: different number of clients and probability of synchronization)
2. FEMNIST CNN training
3. CIFAR10 with LDA

For all 3 of the above, that includes a comparison to Scaffold and FedAvg (all clients sampled in each round since this is the setting of Scaffnew)

I realize I'm posting this very close to the deadline but it'd be a shame to drop the baseline since I've already worked on it.