512 citations
- Lund UniversitySE7 papers
- Blekinge Institute of TechnologySE4 papers
- Uppsala UniversitySE4 papers
- Chalmers University of TechnologySE3 papers
- MAX IV LaboratorySE3 papers
- Max Planck Institute for Solid State ResearchDE3 papers
- Chiba UniversityJP2 papers
- Institute of PhysicsPL2 papers
- Japan Science and Technology AgencyJP2 papers
- KTH Royal Institute of TechnologySE2 papers
- Mälardalen UniversitySE2 papers
- Örebro UniversitySE2 papers
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2024★ 10 cited
Designing deep neural networks for driver intention recognition
Koen Vellenga, H. Joe Steinhauer, Alexander Karlsson +3
Driver intention recognition studies increasingly rely on deep neural networks. Deep neural networks have achieved top performance for many different tasks, but it is not a common…
cs.LG2023★ 14 cited
Toward efficient resource utilization at edge nodes in federated learning
Sadi Alawadi, Addi Ait-Mlouk, Salman Toor +1
Federated learning (FL) enables edge nodes to collaboratively contribute to constructing a global model without sharing their data. This is accomplished by devices computing local,…