Conference
Jul 2026
FedEdge-Adapt: Adaptive Federated Learning for Heterogeneous Edge AI Systems
Federated learning (FL) on heterogeneous edge networks faces a fundamental tension: standard aggregation protocols assume client homogeneity, yet real-world edge deployments span device tiers with $7 \times$ compute and $\mathbf{1 0} \times$ bandwidth disparities. Slow clients become stragglers that stall synchronous r...
Saher Elsayed, Mohamed Ali, Samer Abubaker et al.
· Annual International Compute... · 0 citations