FedML-AI/FedML

How do different algorithms work?

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#660 opened on Dec 6, 2022

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Description

Hello，I want to ask for a help： In the "main_fedml_image_segmentation. py" file of the fedcv module, "SegmentationTrainer. py" and "SegmentationAggregator. py" under the "image_segmentation/trainer" module are imported during training. Suppose I modify different algorithms in "fedml_config. yaml", such as FedAvg, FedOpt, FedProx, but still use the same SegmentationTrainer and SegmentationAggregator, without any difference? How should different algorithms be implemented? In fedcv/segmentation， how do the algorithms in fedml/simulation/mpi work? They are all the same?

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Research direction
Compare the implementations of FedAvg, FedOpt, and FedProx in the fedml/simulation/mpi directory. Look at how each algorithm overrides the base trainer and aggregator classes. Then explain the differences and how to configure them via fedml config.yaml.
Tech stack
python
Domain
backendmachine learning
Issue type
Research
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
1
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Under 1 hour
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Active
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Clear
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None
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80