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FedFomo
FedFomo
- Title: Personalized Federated Learning with First Order Model Optimization
- Venue: ICLR 2021
- Link to paper: https://openreview.net/forum?id=ehJqJQk9cw
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Hi @jafermarq, I would like to implement the FedFomo baseline in flower framework.
Contribution Plan
- The experiments will involve comparing the performance of FedFomo against FedAvg baseline.
- I plan to reproduce (Table 2 and Figure 1) proposed in the paper using the CIFAR-10 and CIFAR-100 datasets.
My Background
I'm a recent graduate with a bachelor's degree in computer engineering from Faculty of Engineering - Alexandria University, eager to embark on a journey into the fascinating worlds of federated learning and privacy-preserving techniques.
Hi @omarmoo5, it's great to see you are keen in implementing FedFomo. Your contribution plan makes sense. We have also discussed your eligibility so everything is good from our side. I have now ✅ all the points in Step 1 & 2, added you as the assignee to this issue, and moved your baseline to the In Progress stage.
You'll find instructions on how to begin with the code by following the link in the What happens Next? section above. If you have doubts or suggestions on how to improve things, please reach out to me and the other contributors via our Slack. As a quick reminder, the Summer of Reproducibility ends at the end of September.
We are looking forward to see your FedFomo baseline in action!!
Hi @jafermarq, I was wondering if FedFomo was still up for grabs. I would love to get started with implementing this in Flower. I plan to work in the same direction as @omarmoo5 mentioned, by comparing FedFomo with FedAvg as a start and building upon the experiments on varying heterogeneity levels (Table 2).
My background
- Final-year undergrad at IIT Roorkee.
- Research experience in areas like domain generalization, test-time adaptation and adversarial ML.
- Previously participated in the ML Reproducibility Challenge.
Hi @apoorvaverma31, yes FedFomo is available. Having FedAvg vs FedFomo results as in Table 2 would be great! Let me know if you need any help starting with the implementation.
Please note that the Flower Summer of Reproducibility is now over. However, the process of contributing a new baseline remains the same. This means that once merged, your FedFomo implementation will be listed in the Flower Baselines documentation for others out there to use. Exciting 🙌
Happy to support you along the way ! Don't forget to join our Slack: https://flower.dev/join-slack/
Hi @jafermarq, thanks for your reply. I'm super excited to be working on this!