DOI: 10.32657/10356/172499
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Enabling efficient edge intelligence: a hardware-software codesign approach

Shuo Huai

Abstract: After optimizing the model algorithm, we propose a hardware-aware collaborative training framework based on Federated Learning (FL), which can expand the training dataset for higher accuracy. Besides, it can learn heterogeneous models to meet the latency constraints of multiple edge systems simultaneously. We use our highaccuracy dynamic zeroizing-recovering method to adjust each local model under its latency constraint. A proto-corrected aggregation scheme is further designed to aggregate all heterogeneous lo… Show more

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