feat: local loop prototype #579
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This consumes the binary parser to do most of the work and is implemented as part of rlsim.
…t_learning into local_loop_prototype
…t_learning into local_loop_prototype
…t_learning into local_loop_prototype
This change implements a local joining and training loop in rlclientlib
…ng into local_loop_prototype
* remove old implementation of local model * Formatting
* Add ctr to cb and add an option to refresh after every n examples * formatting
New order: Get model from federated client If new model received, train it on events generated with old model If new model received, upload delta to client Return latest model data for local inference Old order: Train model on local events If new model received on previous call, generate a delta and upload to client Ask client for updated model Return latest model data for local inference Also merge changes from master branch
* feat: add id and counter * clang * user id field * clang * rm move * cl;ang * try catch * tidy * add id to config * fix test
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