2 papers
cs.NI2026
Surviving the Edge: Federated Learning under Networking and Resource Constraints
Mike Mwanje, Okemawo Obadofin, Theophilus Benson +1
Motivated by the growing proliferation of federated learning (FL) in edge environments, we present the first systematic characterization of transport-layer breaking points in FL sy…
cs.DC2025
Cloud abstractions for AI workloads
Marco Canini, Theophilus A. Benson, Ricardo Bianchini +4
AI workloads, often hosted in multi-tenant cloud environments, require vast computational resources but suffer inefficiencies due to limited tenant-provider coordination. Tenants l…