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About this paper
Wensheng Gan, Shicheng Wan, Philip S. Yu
A survey by Gan, Wan, and Yu provides a comprehensive overview of Model-as-a-Service (MaaS), detailing its evolution from cloud computing, underlying technologies, and widespread application domains. The work also outlines the paradigm's current challenges, including security, privacy, and bias, alongside critical future research directions for its advancement.
Key insights
- MaaS represents an evolution of cloud computing's XaaS paradigm, specifically focusing on AI/ML models and fundamentally changing the application development stack by adding model and framework layers.
- It offers advantages such as lower technical barriers for AI adoption, simplified model development, and high performance with flexible scalability via cloud-based deployment.
- Key enabling technologies for MaaS include cloud computing for scalable infrastructure, model training and optimization techniques, robust API and development tools, and comprehensive security and privacy mechanisms.
Summary by alphaXiv.
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