Larry Pileggi

Adaptive Federated Learning via Dynamical System Model

2025 · arXiv (Cornell University)

Hyperparameter selection is critical for stable and efficient convergence of heterogeneous federated learning, where clients differ in computational capabilities, and data distributions are non-IID. Tuning hyperparameters is a manual and computationally expensive process as the …