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Add FedAvgM baseline #2246

Merged
merged 138 commits into from
Dec 28, 2023
Merged

Add FedAvgM baseline #2246

merged 138 commits into from
Dec 28, 2023

Commits on Mar 6, 2022

  1. Update sim.ipynb 

    Correcting validation dataset references on FlowerClient class and min_eval_clients to be in accordance with the comments.
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Commits on Mar 14, 2022

  1. Merge branch 'main' into main

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  2. Merge branch 'main' into main

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Commits on Mar 15, 2022

  1. Merge branch 'adap:main' into main

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Commits on Jun 28, 2022

  1. Merge branch 'adap:main' into main

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Commits on Jul 12, 2022

  1. Merge branch 'adap:main' into main

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  2. Change to comply with .fit() tuple requirements 

    To be compatible with sanity check for the return of fit method from clients (Tuple of list,int,dict) introduced on the last version of flower.
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Commits on Jul 13, 2022

  1. Merge branch 'main' into main

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  2. Merge branch 'adap:main' into main

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Commits on Jun 22, 2023

  1. Merge branch 'adap:main' into main

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  2. custom metrics example

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Commits on Jul 13, 2023

  1. Merge branch 'adap:main' into main

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  2. Merge branch 'main' of https://github.com/gubertoli/flower into extra… 

    …_metrics
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  3. fedavgm baseline

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  4. initial

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Commits on Aug 23, 2023

  1. Update README.md

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  2. Update client.py

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  3. Update dataset_preparation.py

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  4. Reference using Colab for Simulation

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  5. Delete FedAvgM_Baseline.ipynb

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  6. Experiments using Colab

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  7. Update dataset_preparation.py

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  8. Update client.py

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  9. Update client.py

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  10. Update main.py

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  11. Update client.py

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  12. Update main.py

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  13. Update client.py

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  14. Update base.yaml

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  15. Update main.py

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  16. Update base.yaml

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  17. Update dataset.py

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  18. Update main.py

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  19. Update client.py

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  20. Update base.yaml

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  21. Update main.py

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  22. Update client.py

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  23. Update main.py

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  24. Update dataset_preparation.py

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  25. Update client.py

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  26. Update dataset.py

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  27. Update base.yaml

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  28. Update client.py

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  29. Update main.py

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Commits on Aug 24, 2023

  1. Poetry with Python 3.9.12 and Tensorflow 2.10 working

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Commits on Aug 25, 2023

  1. Simulation running

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  2. Updates to the README and base.yaml

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  3. Update README.md

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  4. Passing dev tests

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  5. removing client configurable lr and momentum 

    It is just applicable to server FedAvgM
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Commits on Aug 26, 2023

  1. Simulation running and Formatting ok

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  2. Delete FedAvgM_Baseline.ipynb

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  3. removing custom metrics example

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  4. change to Python on pyproject.toml for numpy to work + minor changes

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  5. Customize hydra usage

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Commits on Aug 27, 2023

  1. hydra full configurable + simulation running

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  2. fix fedavg simulation + saving results

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  3. Passing ./dev/test-baseline.sh

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Commits on Aug 28, 2023

  1. Set num_clients=100 (same as paper)

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  2. add fraction_evaluate, num_cpus, num_gpus as configurables

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Commits on Aug 29, 2023

  1. Update README.md 

    Fix reference to CNN model from McMahan 2017
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  2. fix CNN architecture according to McMahan 2017

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  3. passing test-baseline

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  4. minor fixes to cnn

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Commits on Aug 30, 2023

  1. additional cnn model (based on TF v1.x example)

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  2. Add illustration about concentration

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  3. Add files via upload

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Commits on Sep 1, 2023

  1. Update README.md

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  2. Update common.py

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  3. Minor changes

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Commits on Sep 2, 2023

  1. Adding final accuracy as part of pickle filename

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  2. Fix for flwr[simulation]

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Commits on Sep 20, 2023

  1. Minor changes

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Commits on Sep 22, 2023

  1. Expected Results update

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  2. Update concentration plot

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  3. Update README.md

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  4. Update README.md

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Commits on Sep 23, 2023

  1. Update of the results

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  2. Update README.md

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Commits on Sep 24, 2023

  1. Update baselines/fedavgm/README.md 

    Co-authored-by: Javier <jafermarq@users.noreply.github.com>
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  2. Update baselines/fedavgm/README.md 

    Co-authored-by: Javier <jafermarq@users.noreply.github.com>
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  3. Update baselines/fedavgm/pyproject.toml 

    Co-authored-by: Javier <jafermarq@users.noreply.github.com>
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  4. Update baselines/fedavgm/pyproject.toml 

    Co-authored-by: Javier <jafermarq@users.noreply.github.com>
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  5. Improvements suggested

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  6. Instruction to configure Google Colab

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  7. lint

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  8. Custom FedAvgM strategy

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  9. Closer to paper description

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  10. minor fix

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  11. Other fixes for Nesterov calculation

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Commits on Sep 26, 2023

  1. client lr as configurable parameter

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  2. minor

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  3. additional comment

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  4. fix reference to _static

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  5. Additional info of current status

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  6. fix concentration implementation

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  7. updated distribution plot

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  8. unnecessary files

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Commits on Sep 28, 2023

  1. Example of Figure6 from paper FedAvgM

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  2. Example of Figure 6 from FedAvgM paper

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  3. Disclaimer about CNN model

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  4. minor fix

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Commits on Sep 29, 2023

  1. Update README.md

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  2. minor changes

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  3. rewording

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  4. fix commands

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  5. fashion-mnist

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  6. Fashion-MNIST evaluation

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  7. remove note

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Commits on Sep 30, 2023

  1. tidy

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  2. update missing (best) params

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Commits on Oct 1, 2023

  1. fedavgm cifar10

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Commits on Oct 6, 2023

  1. Analysis of FedAvgM with and without Nesterov Momentum

    @gubertoli
    gubertoli committed Oct 6, 2023
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  2. minor fix

    @gubertoli
    gubertoli committed Oct 6, 2023
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  3. change y-axis limits

    @gubertoli
    gubertoli committed Oct 6, 2023
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  4. change the custom-fedavgm color

    @gubertoli
    gubertoli committed Oct 6, 2023
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  5. few notes about fedavgm

    @gubertoli
    gubertoli committed Oct 6, 2023
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  6. Including extreme case 1e-9

    @gubertoli
    gubertoli committed Oct 6, 2023
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  7. fix

    @gubertoli
    gubertoli committed Oct 6, 2023
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Commits on Oct 8, 2023

  1. Change point by comma for thousands 

    Co-authored-by: Javier <jafermarq@users.noreply.github.com>
    @gubertoli @jafermarq
    gubertoli and jafermarq authored Oct 8, 2023
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  2. Change point by comma for thousand 

    Co-authored-by: Javier <jafermarq@users.noreply.github.com>
    @gubertoli @jafermarq
    gubertoli and jafermarq authored Oct 8, 2023
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  3. Change to description and authors

    @gubertoli
    gubertoli committed Oct 8, 2023
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  4. Changes to FedAvgM with NAG description and restructure of Environmen… 

    …t Setup
    @gubertoli
    gubertoli committed Oct 8, 2023
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  5. Adding 1e-5 with 10000 rounds and note about lr and momentum values

    @gubertoli
    gubertoli committed Oct 8, 2023
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Commits on Nov 14, 2023

  1. format-baseline and fixing some test-baseline raised issued

    @gubertoli
    gubertoli committed Nov 14, 2023
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Commits on Nov 21, 2023

  1. fixing format

    @gubertoli
    gubertoli committed Nov 21, 2023
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  2. Fixing initial_parameters definition 

    Error from test-baseline:

fedavgm/strategy.py:46: error: Incompatible default for argument "initial_parameters" (default has type "None", argument has type "Parameters")  [assignment]
    @gubertoli
    gubertoli committed Nov 21, 2023
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  3. Fix output filename definition

    @gubertoli
    gubertoli committed Nov 21, 2023
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Commits on Nov 23, 2023

  1. Improved explanation for CustomFedAvgM strategy

    @gubertoli
    gubertoli committed Nov 23, 2023
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  2. Added assert for initial_parameters not None on CustomFedAvgM

    @gubertoli
    gubertoli committed Nov 23, 2023
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  3. Minor changes to improve test-baseline.sh metrics

    @gubertoli
    gubertoli committed Nov 23, 2023
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  4. Fixing hydra yaml learning_rate after pylint changes

    @gubertoli
    gubertoli committed Nov 23, 2023
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  5. pylint

    @gubertoli
    gubertoli committed Nov 23, 2023
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Commits on Dec 11, 2023

  1. Reordering setup

    @gubertoli
    gubertoli committed Dec 11, 2023
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Commits on Dec 18, 2023

  1. Merge branch 'main' into fedavgm-baseline

    @jafermarq
    jafermarq authored Dec 18, 2023
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Commits on Dec 28, 2023

  1. README tweaks

    @jafermarq
    jafermarq committed Dec 28, 2023
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  2. Merge branch 'main' into fedavgm-baseline

    @jafermarq
    jafermarq authored Dec 28, 2023
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  3. to changelog

    @jafermarq
    jafermarq committed Dec 28, 2023
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