DynSL: Resource-Adaptive Model Training across Heterogeneous Edge Devices

Boris Radovič, Istemi Ekin Akkus, Marco Canini +4

Training models over data distributed across edge devices presents a trade-off: centralizing data simplifies training but raises privacy and regulatory concerns, while full local t…