17 citations · 28 across the 8 of their papers we have counts for
Showing 2023 · cs.LGShow all
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cs.LG2023★ 5 cited
Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges
Vishnu Pandi Chellapandi, Liangqi Yuan, Christopher G. Brinton +2
Machine learning (ML) is widely used for key tasks in Connected and Automated Vehicles (CAV), including perception, planning, and control. However, its reliance on vehicular data f…
cs.LG2023
Delay-Aware Hierarchical Federated Learning
Frank Po-Chen Lin, Seyyedali Hosseinalipour, Nicolò Michelusi +1
Federated learning has gained popularity as a means of training models distributed across the wireless edge. The paper introduces delay-aware hierarchical federated learning (DFL)…