Abstract: We present a conceptually novel framework for Federated Learning (FL) called FedFit for a flexible solver to address FL problems. The FedFit framework consists of two components: model ...

Simply collecting data is not enough. You can fill spreadsheets with data, but it's useless if you can't act on it. Regression is one of the most powerful statistical tools for finding relationships ...

Nonlinear photonics is a promising platform for neuromorphic hardware, offering high-speed processing, broad bandwidth, and scalable integration. Within this framework, Reservoir Computing (RC) and ...

Abstract: The linear minimum mean-square error estimator (LMMSE) can be viewed as a solution to a certain regularized least-squares problem formulated using model ...

The fit to the center line was performed using least-squares fitting with a slope, relative to the pump axis, constrained to be between 0 and 1. The biexponential fit to the CLS decay used a ...