posted by user: DhavalPatelIITR || 1215 views || tracked by 2 users: [display]

ServerlessAI 2021 : International Workshop on Serverless Machine Learning for Intelligent and Scalable AI Workflow


When Dec 15, 2021 - Dec 20, 2021
Where Virtual/Florida
Submission Deadline Oct 5, 2021
Notification Due Nov 5, 2021
Final Version Due Nov 20, 2021
Categories    computer science   serverless   workflow   automation

Call For Papers

With several innovations emerging in the domain of AI Automation, the next wave of automation will be focused on an AI applications. The design and development of AI workflows is at the core of emerging AI applications. AI workflows are “dataset centric”, with characteristics and quality of dataset varying across industries and applications. For example, it is common to have “big noisy data” in Oil and Gas industries as there are many oils pumps installed across a wide geographical space. On the other hand, the data generated by imaging technology is “wide clean data” (i.e., fewer number of records, but with a very high number of attributes). Researchers have introduced purpose-built programming models and pipelines APIs that allowing end users to construct a “Pipeline Graphs” to create an AI workflow for Automated Model Discovery. These programming interfaces support multiple machine learning ecosystems and frameworks, e.g., scikit-learn, Keras, pyearth, XGBoost, as part of the same pipeline graph definition, and new pipeline API such as CodeFlare Pipelines. Moreover, using Pipeline Graph we can specify multiple machine learning tasks such as Classification, Regression, Imputation, Time Series Forecasting, Imbalance Learning, Data Sampling, etc. In the race of getting the state-of-the-art result, the data scientists construct a very large Pipeline Graph. Typically, the size of Pipeline Graph varies across applications, across different AI tasks, or even across different personas. In summary, Execution of Pipeline Graph generates bursty workload and execution on Pipeline graph is also adhoc.

With emerging serverless platform offerings emerging, for example IBM Cloud Function and Code Engine, there are new opportunities to build a serverless machine learning toolkit to support the seamless execution of Pipeline Graphs as well as other common operations that can be scaled out. The on-demand capability of spinning up resources on Cloud with negligible instantiation using serverless technology is the center of attraction for AI workload. The focus on this workshop is to introduce serverless technology along with how it is leveraged to build next generation reusable serverless machine learning toolkit to be used for various AI Applications.

Research topics included in the workshop but not limited to the following

· AI application demonstration using serverless technology

· Design, Development and API extension for popular ML library such as sklearn to natively support serverless

· Experimental Analysis of Serverless vs traditional pre-configured

· Workflow manager design

· Scalability and fault tolerance

· Automated ML using serverless

· Feature engineering

· Benchmark papers including emerging technology such as Ray

· Explanability scale out

Related Resources

JCICE 2024   2024 International Joint Conference on Information and Communication Engineering(JCICE 2024)
IEEE Xplore-Ei/Scopus-CTISC 2024   2024 6th International Conference on Advances in Computer Technology, Information Science and Communications (CTISC 2024) -EI Compendex
EAIH 2024   Explainable AI for Health
ICDM 2024   24th Industrial Conference on Data Mining
ITNG 2024   The 21st Int'l Conf. on Information Technology: New Generations ITNG 2024
ACM-Ei/Scopus-CCISS 2024   2024 International Conference on Computing, Information Science and System (CCISS 2024)
IEEE ACIRS 2024   IEEE--2024 the 9th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS 2024)
IEEE Xplore-Ei/Scopus-CVIV 2024   2024 6th International Conference on Advances in Computer Vision, Image and Virtualization (CVIV 2024) -EI Compendex
ICCIA 2024   2024 9th International Conference on Computational Intelligence and Applications (ICCIA 2024)
CVIPPR 2024   2024 2nd Asia Conference on Computer Vision, Image Processing and Pattern Recognition