1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2026
TASTE: Throughput-Aware Batch Size Tuning for On-Device Edge Learning
Avik Bhatnagar, Federico Nicolas Peccia, Oliver Bringmann
The rise of privacy-preserving artificial intelligence (AI) has shifted the focus of model adaptation and personalization towards on-device learning, where deep learning models are…
cs.LG2026★ 1 cited
On-Device Adaptive Battery Power Prediction for Electric Vehicles
Avik Bhatnagar, Anton Paule, Tobias Schuermann +2
Adaptive power management in Electric Vehicles (EVs) requires accurate power prediction. Although deep learning models have emerged as highly effective for time-series forecasting…