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0.9.1 (2022-09-23)

  • fix few minor errors in docs

0.9.0 (2022-09-21)

  • make all user methods in algorithms static (no self argument).
  • better encapsulation.
  • expand definition of storage for read and write protection.

0.8.3 (2022-09-18)

  • add option for valid split on global data in basic dta manager.

0.8.2 (2022-09-12)

  • changed image paths to links from github in readme

0.8.1 (2022-09-12)

  • fix a minor bug with a link in readme

0.8.0 (2022-09-12)

  • some major revision to documentation
  • some enhancement to FedProx compatibility with v0.7+

0.7.0 (2022-09-10)

  • algorithms got more secure with local storage
  • redefined model architectures
  • fixed bug in default step closure'
  • made random seed more consistent

0.6.2 (2022-08-31)

  • fixed some errors in docstring of central FL algorithms
  • add sample balance param to to identifiers of data manager

0.6.1 (2022-08-17)

  • fixed bug in partition_global_data of BasicDataManager
  • some changes in default values for better log storage and aggregation

0.6.0 (2022-08-16)

  • changed the name of cli directory
  • added cli tests
  • added support for pytorch original lr schedulers
  • improved docs
  • added version option to fedsim-cli

0.5.0 (2022-08-15)

  • completed lr schedulers and generalized them for all levels
  • changed some argument names and default values

0.4.1 (2022-08-12)

  • fixed bugs with mismatched loss_fn argument name in cli commands
  • changed all eval_freq arguemnts to unified log_req

0.4.0 (2022-08-12)

  • changed the structure of scores and losses
  • made it possible to hook multiple local and global scores

0.3.1 (2022-08-09)

  • added advanced learning rate schedulers
  • properly tested r2r lr scheduler

0.3.0 (2022-08-09)

  • added fine-tuning to cli, fed-tune
  • cleaner cli
  • made optimizers and schedulers user definable
  • improved logging

0.2.0 (2022-08-01)

  • cleaned the API reference in docs
  • changed cli name to fedsim-cli
  • improved documentation
  • improved importing
  • changed the way custom objects are passed to cli

0.1.4 (2022-07-23)

  • changed FLAlgorithm to CentralFLAlgorithm for more clearity
  • set default device to cuda if available otherwise to cpu in fed-learn cli
  • fix wrong superclass names in demo
  • fix the confusion with save_dir and save_path in DataManager classes

0.1.3 (2022-07-08)

  • the documentation is redesigned and mostly automated.
  • documentation now is available at https://fesim.varnio.com
  • added code of coduct from github tempalate

0.1.2 (2022-07-05)

  • changed ownership of repo from fedsim-dev to varnio

0.1.1 (2022-06-22)

  • added fedsim.scores which wraps torch loss functions and sklearn scores
  • moved reporting mechanism of distributed algorithm for supporting auto monitor
  • added AppendixAggregator which is used to hold metric scores and report final results
  • apply a patch for wrong pypi supported python versions

0.1.0 (2022-06-21)

  • First major pre-release.
  • The package is restructured
  • docs is updated and checked to pass through tox steps

0.0.4 (2022-06-14)

  • Fourth release on PyPI.