2 papers
cs.DC2026
System-Wide Termination in Distributed Betweenness Centrality Computation
Siamak Abdi, Lucia Cavallaro, Giuseppe Di Fatta
Computing betweenness centrality on large networks is inherently expensive, as it requires aggregating shortest-path dependencies across all pairs of vertices and becomes increasin…
cs.LG2025
Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0
Davide Domini, Laura Erhan, Gianluca Aguzzi +4
Federated Learning offers privacy-preserving collaborative intelligence but struggles to meet the sustainability demands of emerging IoT ecosystems necessary for Society 5.0-a huma…