Lawrence Pileggi

FedECADO: A Dynamical System Model of Federated Learning

Federated learning harnesses the power of distributed optimization to train a unified machine learning model across separate clients. However, heterogeneous data distributions and computational workloads can lead to inconsistent updates and limit model performance. This work tackles these challenges…