影响力指数
论文质量、代表作、近期表现、广度与样本量置信度综合计算
16.55/100
超过 49.9%
全站排名 #32,231
发表论文4 篇
平均评分
年均产出4.0 篇/年
David E. Keyes
研究方向
spatial statistics · high performance computing · computational science and engineering · numerical analysis of PDEs
35
Private Training Large-scale Models with Efficient DP-SGD
NeurIPS 2025Poster
11
Scalable Zeroth-Order Fine-Tuning for Extremely Large Language Models with Limited GPU Memory
COLM 2025Poster
18
FlashDP: Memory-Efficient and High-Throughput DP-SGD Training for Large Language Models
ICLR 2025Withdrawn
20
ZO-Offloading: Fine-Tuning LLMs with 100 Billion Parameters on a Single GPU
ICLR 2025Withdrawn