xaynet-sdk 0.1.0

The Xayn Network project is building a privacy layer for machine learning so that AI projects can meet compliance such as GDPR and CCPA. The approach relies on Federated Learning as enabling technology that allows production AI applications to be fully privacy compliant.
Documentation 
// Important the macro_use modules must be declared first for the
// macro to be used in the other modules (until declarative macros are stable)
#[macro_use]
mod phase;
mod io;
mod phases;
#[allow(clippy::module_inception)]
mod state_machine;

// It is useful to re-export everything within this module because
// there are lot of interdependencies between all the sub-modules
#[cfg(test)]
use self::io::MockIO;
use self::{
    io::{boxed_io, IO},
    phase::{IntoPhase, Phase, PhaseIo, Progress, SharedState, State, Step},
    phases::{Awaiting, NewRound, SendingSum, SendingSum2, SendingUpdate, Sum, Sum2, Update},
};

pub use self::{
    phase::{LocalModelConfig, SerializableState},
    state_machine::{StateMachine, TransitionOutcome},
};

#[cfg(test)]
pub mod tests;