3 papers
cs.SE2026
Towards Intelligent Computation Offloading in Dynamic Vehicular Networks: A Scalable Multilayer Pipeline
Falk Dettinger, Matthias WeiÃ, Baran Can Gül +3
Software Defined Vehicles face an increasing computational gap as advanced algorithms and frequent software updates demand more processing power while onboard hardware remains stat…
cs.LG2025
FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning
Baran Can Gül, Suraksha Nadig, Stefanos Tziampazis +2
In-vehicle emotion recognition underpins adaptive driver-assistance systems and, ultimately, occupant safety. However, practical deployment is hindered by (i) modality fragility -…
cs.LG2025
SyncFed: Time-Aware Federated Learning through Explicit Timestamping and Synchronization
Baran Can Gül, Stefanos Tziampazis, Nasser Jazdi +1
As Federated Learning (FL) expands to larger and more distributed environments, consistency in training is challenged by network-induced delays, clock unsynchronicity, and variabil…