A new article titled “Handling Dynamics in HFL Pipelines: The Need for Adaptive Orchestration”, authored by Ana Petra Jukić, has been published as part of the ongoing AIoTwin project blog series. The article reflects work carried out during and following the author’s short-term exchange at Technische Universität Berlin, focused on advanced orchestration strategies for Hierarchical Federated Learning (HFL).
The text discusses key challenges arising in dynamic environments, where HFL pipelines may become suboptimal due to node arrivals or departures, fluctuations in resource availability, or non-uniform data distributions. It outlines the importance of adaptive orchestration and provides an overview of the AIoTwin orchestration middleware, developed on Kubernetes, which monitors performance, resource usage, and cost metrics to support intelligent and timely reconfiguration of HFL pipelines.
The article also presents the Reconfiguration Validation Algorithm (RVA), a method used to assess whether newly applied configurations offer real improvements without exceeding defined budget constraints.
The full article is available here.