Added 3 new features: training policy index, continuous training, training node db validation on init#71
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…ency (manually for now requires changing ModelUpdate to LocalModelUpdate in lib/python3.9/site-packages/ibmfl/aggregator/fusion/iter_avg_fusion_handler.py)
…of ModelUpdate, removing its IBM dependency (manually for now requires changing ModelUpdate to LocalModelUpdate in lib/python3.9/site-packages/ibmfl/aggregator/fusion/iter_avg_fusion_handler.py)
…oves the need for manually changes)
IBM Removal of ModelUpdate/DataHandler
… to replace IBM's IterAvgFusionHandler
Created a base aggregation model class + federated average agg. model…
IBM Removals Branch
…irements, merged w/updated README
Removed IBM federated learning & upgraded platform to Python 3.11
Revert "Removed IBM federated learning & upgraded platform to Python 3.11"
Upgraded platform to run on Python 3.12 + requirements; updated README
…ls-branch Revert "Revert "Removed IBM federated learning & upgraded platform to…
Merging Logger Branch to Pre-main
…s on both mnist and winniio dataset
…chvision requirement; fixed typos
…itions; tested w/`blockchain get [query]`
Completed `Define Index Variables` Task
…node_server / node
completed task for node validation check
moving main updates and release 2 tasks into one pre-main
…ritten in Flask by Chahel); fixed merge conflicts
Merging continuous training code w/ no merge conflicts
…ckchain to hold most recent aggregated model file
royshadmon
changed the title
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Index Variables: init-command has new parameter; creates new subdirectory based on index given and dataset used (Ex. /file_write/MnistDataHandler/test-index/<aggregator / node>/ test-index-1-agg_update.json)
Continuous Training: new command can be issued after training is completed (see README.md); blockchain holds additional policy (ex. test-index-r) to hold latest aggregation model
Node DB Validation check: validation on node startup to check if database is accessible