Warm Start Optimization
Warm Start Optimization is a serverless runtime management technique that minimizes cold start latency by preserving and reusing initialized execution contexts across invocations, thereby distinguishing itself from other optimization strategies through its focus on state retention and rapid initialization of previously warmed resources.
41
Publications
1.9K
Citations
130
Authors
63
Institutions
Publications per year
2017–2026
22
41
On Compressing Deep Models by Low Rank and Sparse Decomposition
Xiyu Yu, Tongliang Liu, Xinchao Wang et al. · 2017 · 428 citations
Incremental and decremental training for linear classification
Cheng-Hao Tsai, Chieh-Yen Lin, Chih‐Jen Lin · 2014 · 74 citations
1–5 of 41
130
3
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 130
63

University of Edinburgh
Edinburgh, United Kingdom
3 h-index
6 publications
205 citations

University of Freiburg
Freiburg im Breisgau, Germany
3 h-index
5 publications
150 citations
Tsinghua University
Beijing, China
2 h-index
6 publications
150 citations

National Taiwan University
Taipei, Taiwan
2 h-index
8 publications
347 citations
Laboratoire des signaux et systèmes
Gif-sur-Yvette, France
1 h-index
1 publications
42 citations
Athens Medical Center
Athens, Greece
1 h-index
1 publications
51 citations
University of Pennsylvania
Philadelphia, United States
1 h-index
1 publications
12 citations

Linköping University
Linköping, Sweden
1 h-index
2 publications
118 citations
1–8 of 63
3 publications · 151 citations
3
h-index
2 publications · 68 citations
2
h-index
2 publications · 78 citations
2
h-index
Repository · 2 publications · 68 citations
2
h-index
1 publications · 13 citations
1
h-index
1–5