feat(baselines) Add flwr baseline fedht#4398
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chancejohnstone wants to merge 144 commits intoadap:mainfrom
Open
feat(baselines) Add flwr baseline fedht#4398chancejohnstone wants to merge 144 commits intoadap:mainfrom
chancejohnstone wants to merge 144 commits intoadap:mainfrom
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changed fedht baseline from original to flwr run format |
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Issue
Adding Fed-HT (and FedIter-HT) baseline originally introduced in:
Tong, Q., Liang, G., Zhu, T. and Bi, J., 2020. Federated nonconvex sparse learning. arXiv preprint arXiv:2101.00052.
Description
Fed-HT (and Fed-IterHT) are aggregation strategies for generating highly predictive models while also allowing for constrained sparsity (with some sparsity threshold parameter), instead of just sparsity through regularization. The goal with this baseline is to implement Fed-HT and Fed-IterHT as a custom Flower aggregation strategy and apply to simulated and benchmark datasets from the paper.
Related issues/PRs
This PR is related to the following PR: Add Flower Baseline: FedHT #3987
Proposal
Proposing to merge local fork with Flower repo to include fedht baseline in future Flower versions.
Checklist
#contributions)Comments
Results from paper not reproduced exactly as hyperparameters for figures are not identified. Waiting on response from original authors.