arXiv cs.LG
· Papers
FQTree: Fine-grained Quantization and Hardware Generation of Boosted Decision Trees
arXiv:2608.12140v1 Announce Type: cross Abstract: Boosted decision trees (BDTs) are widely used in latency-critical applications, but efficient hardware deployment remains challenging. Existing designs often rely on uniform or manually tuned fixed-point formats, which can introduce unnecessary hardware cost or accuracy