Author

R. Weerasekera

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Conference Open access Aug 2026

FQTree: Fine-Grained Quantization and Hardware Generation of Boosted Decision Trees

This work presents the FQTree algorithm for fine-grained quantization-aware training of BDTs, together with the QXGB framework for automatic hardware generation, and applies this quantization during boosting so that later trees adapt to the errors of the already-quantized ensemble.

Zhi-Qiang Que, Chang Sun, Haiyan Wang et al. · IEEE International Conferenc... · 0 citations