Pulling changes from the main repo #6
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* introduced interactive API component * moved examples to the openfl-tutorials * docs for the interactive api initialized * docs update * Added docs, cleaned notebooks * More comments added * More comments * More docstrings * dropped commented code * Docs update * Serializer class names fix * Added comments to tutorials * Fixes for docs * Fixed logging in notebook * Translated docs to rst * docs link fix * rst code-block fix * more fixes for code blocks * more fixes for docs * more rst fixes Co-authored-by: Alexey Gruzdev <alexey.gruzdev@intel.com>
* Add notebook for FedProx method * Add a description * Rename notebook * Add PyTorch workspace template for FedProx method * Extract train_epoch method in PyTorchTaskRunner * Erase local dependency * Extract train_epoch method * Add FedProx implementation for Keras * Add FedProx to Keras * Update FedProx Keras tutorial * Update PyTorch implementation * Add workspace for Keras * Update PyTorch workspace * Fix linter * Update PyTorch histology template * Update PyTorch MNIST workspace * Fix linter * Fix linter * Fix linter * Fix num_batches keyword argument in Keras * Allow to specify num_batches in Keras * Update PyTorch Python API test * Move Metric type to utilities.types * Include FedProx optimizers in utilities package * Fix imports * Update __init__.py * Remove workspaces with FedProx Co-authored-by: Alexey Gruzdev <alexey.gruzdev@intel.com>
* Fixes to delta calculation and lossy compression flow. Added new workspace that enables lossy compression by default * WIP * Fixed bug in sparsity calculation. Working now for single collaborator with 90% sparsity * Cleaning up code and adding documentation * Removing comments * Fixing flake8 linting * Fix F541 * Fixed collaborator unit tests * Store additional rounds for tf_cnn_histology Co-authored-by: Alexey Gruzdev <alexey.gruzdev@intel.com>
* Fix loss functions in PyTorch notebooks * Remove hard-coded typing in train_batches
* Allow to specify custom aggregation function * Fix linter * Fix unit tests * Update notebook * Add geometric median aggregation function * Fix linter * Introduce aggregation function interface * Fix linter errors * Fix unit tests * Clear notebook output * Update aggregation function interface * Revert YAML reading changes * Fix unit tests * Update get_plan method in native API * Fix linter * Add documentation article for aggregation functions * Extend docs * Fix unit tests * Add threshold averaging and smoothing * Fix unit tests * Update docstrings * Update docs example * Update interface function arguments * Fix clipping * Fix TensorDB unit test * Drop delta records in clipping example * Fix pip command in notebook * Update docs * Resolve plan after overrides * Remove deltas for exponential averaging * Fix exponential averaging * Update notebook * Fix smoothing arguments * Fix threshold averaging arguments * Change warning frequency for threshold averaging
* ignore updated * azure set up added with twine auto-upload of pip packages (wheel and sdist) * pytest added * revert changes * added citation * Updated citation link * Remove azure-pipelines.yaml from PR Co-authored-by: Alexey Gruzdev <alexey.gruzdev@intel.com>
* Allow to specify custom aggregation function in CLI * Fix threshold averaging * Remove TensorDB predefined aggregation functions * Fix unit tests * Always use FedAvg for metric tensors * Use singleton default averaging instance * Create Singleton type in utilities package * Use metaclass instead of multiple inheritance * Update plan.py Co-authored-by: Alexey Gruzdev <alexey.gruzdev@intel.com>
* Extend interface docstring * Update rst * Update notebook * Update predefined implementations
* Install required TensorFlow version in Python API test * Update TF import in native tests * Update python_native_tf.py Co-authored-by: Alexey Gruzdev <alexey.gruzdev@intel.com>
* updated to grpc==1.34.0 and tensorflow==2.5.0 * updated grpc==1.34.0, tensorflow==2.5.0
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