Commit 7ba7e8e
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Migrated all examples to the use of the new client, server, and trainer APIs. (#396)
* Updated the clean script to traverse all subdirectories.
* Sync context whenenver a client ID change is detected in the client.
* Revised attack_adaptive, llm_split_learning, and the cleanup script.
* ruff format & ruff check --fix.
* Added tests for models, datasources, processors, and samplers.
* IMproved tests (with 147 now).
* Fixed import issues with Polaris and deprecation warnings in DLG.
* Moved DLG documentation into docs/.
* Improved MPC so that mpc_data is stored in 'runtime/'.
* Reorganized tests.
* Fixed runtime errors in Maskcrypt.
* Fixed the basic and ssl trainer so that SSL example 'byol' runs.
* Supports automatic data downloading with a context manager and a download guard; removed docs on the -d option.
* Migrated Calibre to the use of server strategies.
* Calibre now runs successfully to completion.
* Fixed issues with three-layer FL algorithms.
* Improved parallel downloading of the MNIST dataset.
* Fixed issues running model search examples.
* Fixed a sampler issue in differential privacy trainer; updated the docs to reflect the latest APIs.
* Removed logging to files and migrated aggregation to using server strategies.
* Released v1.4.
* ruff check --fix & ruff format.1 parent 2762c18 commit 7ba7e8e
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69 files changed
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lines changed- docs/docs
- examples
- algorithms
- examples
- client_selection/polaris
- customized_client_training/scaffold
- detector
- gradient_leakage_attacks
- utils
- model_pruning/sub_fedavg
- model_search
- anycostfl
- fedrolex
- heterofl
- pfedrlnas
- DARTS
- VIT
- nasvit_wrapper/NASViT
- configs
- reinforcement_learning/fei
- secure_aggregation/maskcrypt
- server_aggregation/attack_adaptive
- split_learning/llm_split_learning
- ssl/calibre
- plato
- clients
- datasources
- mpc
- servers
- strategies/aggregation
- trainers
- tests
- datasources
- models
- mpc
- processors
- samplers
- trainers
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