Federated learning algorithms

Federated optimization algorithms have been the central problem in the field of federated learning since its inception. This chapter contains a collection of algorithms that have been proposed in the literature, which will be analyzed from the viewpoint of optimization theory, espcially the theory of operator splitting.

Sections:

• Overview of Optimization Algorithms in Federated Learning
• Proximal Algorithms in Federated Learning
• Primal-Dual Algorithms in Federated Learning
• Operator Splitting Algorithms in Federated Learning
• Skipping Algorithms in Federated Learning