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Himani Tyagi

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Open access Sep 2026

A Multi-Tier Federated Learning Architecture for Scalable and Efficient Model Training in Autonomous Vehicles

Since autonomous vehicles have been adopted so quickly, there are now more diverse and rich data streaming in real time from vehicle sensors, asking for machine learning models that focus on privacy and efficiency. A new solution called Federated Learning (FL) can learn from large amounts of distributed data without sh...

Himani Tyagi · 0 citations
#federated learning Open access Oct 2026

Janus: Dual-Sided Communication and Privacy Optimization for Federated Learning in Autonomous Vehicles

To the authors' knowledge, this is the first vehicular-FL evaluation combining joint uplink-downlink compression with genuine HE-based privacy, validated through real cryptography, real privacy attacks, statistical testing, cross-dataset and cross-modality generalisation, and a convergence guarantee.

Himani Tyagi, Abhilasha Singh, Ganesh Gupta · 0 citations

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