7 papers
Leveraging Neural Graph Compilers in Machine Learning Research for Edge-Cloud Systems
Alireza Furutanpey, Carmen Walser, Philipp Raith +2
This work presents a comprehensive evaluation of neural network graph compilers across heterogeneous hardware platforms, addressing the critical gap between theoretical optimizatio…
Pricing-Driven Resource Allocation in the Computing Continuum
Alejandro GarcÃa-Fernández, Boris Sedlak, José Antonio Parejo +3
Deploying applications across the computing continuum requires selecting infrastructure nodes from geographically distributed and heterogeneous environments while satisfying constr…
QoS-Aware Load Balancing in the Computing Continuum via Multi-Player Bandits
Ivan ÄiliÄ, Ivana Podnar Žarko, Pantelis Frangoudis +1
As computation shifts from the cloud to the edge to reduce processing latency and network traffic, the resulting Computing Continuum (CC) creates a dynamic environment where meetin…
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 ÄiliÄ, 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…
A Multidimensional Elasticity Framework for Adaptive Data Analytics Management in the Computing Continuum
Sergio Laso, Ilir Murturi, Pantelis Frangoudis +3
The increasing complexity of IoT applications and the continuous growth in data generated by connected devices have led to significant challenges in managing resources and meeting…