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Found 2 papers, 1 papers with code
Federated Learning with Heterogeneous Data Handling for Robust Vehicular Object Detection
In this paper, we introduce FedProx+LA, a novel FL method building upon the state-of-the-art FedProx and FedLA to tackle data heterogeneity, which is specifically tailored for vehicular networks.
A Comprehensive Study of Vision Transformers in Image Classification Tasks
In this paper, we conduct a comprehensive survey of existing papers on Vision Transformers for image classification.
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