Releases: ravenprotocol/ravenverse
RDF v0.3
Support for federated analytics added
A new scheduler algorithm added
FTP server implemented
Support for multi-client distributed computing added
Homomorphic Encryption(Tenseal) support added
A new python client added(ravpy) introduced
RavJS(Javascript client) updated
RavOp- federated analytics ops added - federated mean, federated variance, and federated standard deviation
Support for subgraphs added
Benchmarking for distributed clients implemented
RDF v0.1-alpha
Script setup.sh updated
RDF v0.1
Raven Distribution Framework v0.1 (RDF v0.1) is the first release with a major strengthening of our RavOp framework. We have added support for core features like Scalar, Tensor, Op, Graph, Matrix Calculation, Addition, Subtraction, and other operations. We have also added support for Machine Learning algorithms like Linear Regression, Logistic Regression.