This example shows how to implement a federated binary classification via logistic regression with second-order Newton-Raphson optimization. The goal is to compute ...

2. Define the function fx ie. F(x) and error tolerance. 3. Input the initial guess value Xo. 4. Calculate fo=F(Xo) and Go=G(Xo)=F'(x) 5. Calculate X_new= Xo -F(Xo)/G ...

For over three centuries, Newton’s method has been a cornerstone in solving complex mathematical problems across various fields such as logistics, finance, computer vision, and pure math. Despite its ...