5 papers
BIPPO: Budget-Aware Independent PPO for Energy-Efficient Federated Learning Services
Anna Lackinger, Andrea Morichetta, Pantelis A. Frangoudis +1
Federated Learning (FL) is a promising machine learning solution in large-scale IoT systems, guaranteeing load distribution and privacy. However, FL does not natively consider infr…
Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget
Ivan Čilić, Anna Lackinger, Pantelis Frangoudis +4
Deploying a Hierarchical Federated Learning (HFL) pipeline across the computing continuum (CC) requires careful organization of participants into a hierarchical structure with inte…
RainCloud: Decentralized Coordination and Communication in Heterogeneous IoT Swarms
Filip Loisel, Geri Zeqo, Andrea Morichetta +2
The increasing volume and complexity of IoT systems demand a transition from the cloud-centric model to a decentralized IoT architecture in the so-called Computing Continuum, with…
Adaptive Active Inference Agents for Heterogeneous and Lifelong Federated Learning
Anastasiya Danilenka, Alireza Furutanpey, Victor Casamayor Pujol +5
Handling heterogeneity and unpredictability are two core problems in pervasive computing. The challenge is to seamlessly integrate devices with varying computational resources in a…
Inference Load-Aware Orchestration for Hierarchical Federated Learning
Anna Lackinger, Pantelis A. Frangoudis, Ivan Čilić +4
Hierarchical federated learning (HFL) designs introduce intermediate aggregator nodes between clients and the global federated learning server in order to reduce communication cost…