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Gitlab upgrade to latest version (15.10.1) is complete. Have a nice day!

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FFT Wavelets and more

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Merged Jeffrey Wigger requested to merge wigger/decentralizepy:fft_wavelet_and_more into main Mar 09, 2022
  • Overview 12
  • Commits 16
  • Pipelines 0
  • Changes 40

Adds several sharing methods and their accompanying training implementations:

  • FFT with frequency change based parameter selection (FrequencyAccumulator)
  • Wavelet with frequency change based parameter selection (FrequencyWaveletAccumulator)
  • topK with model change based parameter selection (ModelChangeAccumulator)
  • TopKParams: selects the topK highest values for sharing

It also adds an example config file for each mentioned sharing method.

Additionally it adds:

  • 96 nodes regular random graph with degree four
  • plot.py now also json dumps the average train loss, test loss, and test loss
  • changes run.sh template to store the logging data on the nfs
  • adds PyWavelets to setup.cfg
  • In testing.py it will now crash if the logging directory already exists to prevent accidentally overwriting old experiments.
  • converting indices to int32 before encoding
  • removing not needed imports
Edited Mar 21, 2022 by Jeffrey Wigger
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Source branch: fft_wavelet_and_more