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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

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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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