Author

Zhiqiang Que

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#machine learning Preprint Oct 2026

LocalTrain: Integer-Only Local Learning for Energy-Efficient CNN Training on Edge FPGAs

Local learning reduces cross-layer training dependencies, but an efficient accelerator must still retain operands, accumulate gradients, and select quantization scales. We present an FPGA system that trains a CNN and its regional auxiliary classifiers using a shared integer matrix engine. Compact errors are expanded on...

Shi-Qi Ding, Xuan-Yu Liang, Xin-Yang Liu et al. · 0 citations

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