Distributed Machine Learning in the Internet of Things
Auditorio del IIMAS Circuito Escolar S/N, Ciudad Universitaria, Ciudad de México, MexicoIn this talk we discuss approaches for distributed machine learning (ML) in resource-constrained Internet of Things (IoT) networks. Federated Learning (FL) and Split Learning (FL) are popular approaches in such environments. First, we present Early Exit of Communication (EEoC), which adaptively splits ML inference in an IoT edge computing environment to meet latency and energy […]