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Towards Demystifying Serverless Machine Learning Training
Summary: Systematic study of ML training on FaaS vs IaaS; LambdaML enables fair benchmarking and optimization/synchronization options. Key result: serverless helps only for low-communication, fast-converging models; overall FaaS is faster but not cheaper than IaaS.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 6266
- Venue
- SIGMOD
- Year
- 2021
- Pagerank
- 8.1135606e-05
- Overall Rank
- 2,795 | 80.58%
- DOI
-
10.1145/3448016.3459240
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 20 of 20 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 411 |
PyTorch Distributed: Experiences on Accelerating Data Parallel Training |
2020 |
VLDB |
0.00023881138 |
| 496 |
Column-Stores vs. Row-Stores: How Different Are They Really? |
2008 |
SIGMOD |
0.00021705611 |
| 543 |
MLbase: A Distributed Machine-learning System |
2013 |
CIDR |
0.0002050918 |
| 920 |
Serverless Computing: One Step Forward, Two Steps Back |
2019 |
CIDR |
0.0001526483 |
| 1,324 |
Starling: A Scalable Query Engine on Cloud Functions |
2020 |
SIGMOD |
0.00012585081 |
| 1,407 |
Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML |
2014 |
VLDB |
0.00012163413 |
| 1,946 |
Heterogeneity-aware Distributed Parameter Servers |
2017 |
SIGMOD |
9.9983926e-05 |
| 1,970 |
Compressed Linear Algebra for Large-Scale Machine Learning |
2016 |
VLDB |
9.9024431e-05 |
| 2,420 |
Lambada: Interactive Data Analytics on Cold Data Using Serverless Cloud Infrastructure |
2020 |
SIGMOD |
8.8474951e-05 |
| 2,446 |
FlexPS: Flexible Parallelism Control in Parameter Server Architecture |
2018 |
VLDB |
8.7988018e-05 |
| 2,660 |
Vertica-ML: Distributed Machine Learning in Vertica Database |
2020 |
SIGMOD |
8.3614044e-05 |
| 3,122 |
DB4ML – An In-Memory Database Kernel with Machine Learning Support |
2020 |
SIGMOD |
7.5284233e-05 |
| 3,810 |
SketchML: Accelerating Distributed Machine Learning with Data Sketches |
2018 |
SIGMOD |
6.7375383e-05 |
| 4,040 |
In-RDBMS Hardware Acceleration of Advanced Analytics |
2018 |
VLDB |
6.5052227e-05 |
| 4,924 |
An Experimental Evaluation of Large Scale GBDT Systems |
2019 |
VLDB |
5.8211961e-05 |
| 6,400 |
ColumnML: Column-Store Machine Learning with On-The-Fly Data Transformation |
2019 |
VLDB |
5.0739311e-05 |
| 6,482 |
Dynamic Parameter Allocation in Parameter Servers |
2020 |
VLDB |
5.0396586e-05 |
| 6,809 |
In-database Distributed Machine Learning: Demonstration using Teradata SQL Engine |
2019 |
VLDB |
4.9153998e-05 |
| 6,984 |
A Cost-based Optimizer for Gradient Descent Optimization |
2017 |
SIGMOD |
4.8680519e-05 |
| 9,471 |
DimBoost: Boosting Gradient Boosting Decision Tree to Higher Dimensions |
2018 |
SIGMOD |
4.3300949e-05 |
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Lambada: Interactive Data Analytics on Cold Data Using Serverless Cloud Infrastructure |
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| 10,893 |
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CIDR |
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