IEEE

Privacy-Preserving Federated Learning With Adaptive Model Aggregation for Efficient Vehicle-to-Vehicle (V2V) Communication in Intelligent Transportation Systems

Abstract: Intelligent Transportation Systems (ITS) demand robust privacy-preserving frameworks that maintain efficiency and adaptability in dynamic Vehicle-to-Vehicle (V2V) networks. Conventional ...
GitHub

FDSE: Federated Learning with Domain Shift Eraser

python run_single.py --task office_caltech10_c4 --algorithm fdse --gpu 0 --load_mode mmap --config ./config/office/fdse.yml --logger PerRunLogger --seed 2 python run ...
IEEE

Long-Tailed Federated Learning with Fixed Classifier

Abstract: Federated learning (FL) is a machine learning approach where multiple participants train a model together without sharing their privacy data. The challenge of long-tail data heterogeneity in ...