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cs.LG2026
GLOBE: Trajectory-Aligned Gradient Matching with Structured SparseOptimization for Coreset Selection
Hetian Liu, Jin Cui, Mengcheng Shi +4
On-device training of deep neural networks is fundamentally constrained by the computational and memory costs of large-scale datasets. Coreset selection offers a practical solution…
cs.LG2025
AdapSNE: Adaptive Fireworks-Optimized and Entropy-Guided Dataset Sampling for Edge DNN Training
Boran Zhao, Hetian Liu, Zihang Yuan +5
Training deep neural networks (DNNs) directly on edge devices has attracted increasing attention, as it offers promising solutions to challenges such as domain adaptation and priva…
cs.LG2025
SparseMap: A Sparse Tensor Accelerator Framework Based on Evolution Strategy
Boran Zhao, Haiming Zhai, Zihang Yuan +4
The growing demand for sparse tensor algebra (SpTA) in machine learning and big data has driven the development of various sparse tensor accelerators. However, most existing manual…