The Dirichlet Distribution in Federated Learning: From Probability Vectors to Non-IID Data Partitioning
Introduces the definition, concentration parameters, and statistical properties of the Dirichlet distribution, distinguishes between two …
federated-learning
Convergence Analysis in Federated Learning (Part 5)
Deriving non-convex stationary point bounds and strongly convex error bounds under full participation from FedAvg's local updates, …
Accelerating Federated Learning Simulation with MPI
Building a federated learning simulator using mpi4py and PyTorch, covering server-client architecture, MPI execution flow, multi-process …