Abstract: Federated learning (FL) is a distributed machine learning technique that enables multiple decentralized clients to develop a model collaboratively without exchanging their local data.

Create realistic trees using simple linework, shading, and crosshatching techniques. Step-by-step guidance shows how to build natural tree shapes, add bark texture, and develop depth from light ...

Abstract: Machine learning (ML) has been instrumental in solving complex problems and significantly advancing different areas of our lives. Decision tree-based methods have gained significant ...