Nerlnet Oxytocin - Efficient Communication and federated learning workers
Nerlnet - version 1.2.0 Oxytocin
- NerlTensors are introduced in this version (Binary and Erlang)
- NerlTensors can be encoded as double or float (binaries instead of Erlang lists).
- Improve the efficiency of the communication network.
- Add confusion matrix of workers.
- Add generic worker and workerNN - Easier worker implementation in Erlang.
- Improve NIF efficiency by using DMA copies from binary instead of list to tensor assignment cell by cell.
- Improve logs.
- Improved Json parser.
- Tests and CI support.
- Introducing the GenericWorker FSM - Intelligence is implemented on worker FSMs.
- Implement workerFederated client and server.