ICTACT Journal on Soft Computing

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Blockchain Enabled, Collaborative Platform for AI as a Service


Affiliations
1 Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning, India, India
2 Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning, India., India
     

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With the advent of technology, modern human activities produce a huge amount of data. This vast amount of data facilitates a better model training, thus creating accurate predictions. But most of the business entities lack the facilities and resources to develop an AI system. There is a need for a platform, to which the business can outsource the process of data collection, model development, and its deployment. These models should be tailored for each use case. The work presented here attempts to address these issues using blockchain and incremental learning. The transactions and user identification in the platform are implemented using blockchain, thus maintaining the ownership of the model and dataset in a transparent, immutable and decentralized manner. Incremental learning algorithms are employed to facilitate the real-time updation of the model. All the models and the datasets collected in the platform are considered resources. The platform opens up an avenue for developing a marketplace for data and trained models.

Keywords

Blockchain, Incremental Learning, AI as a Service, Data Market Place.
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  • Blockchain Enabled, Collaborative Platform for AI as a Service

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Authors

Venkata Raghava Kurada
Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning, India, India
Pallav Kumar Baruah
Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning, India., India

Abstract


With the advent of technology, modern human activities produce a huge amount of data. This vast amount of data facilitates a better model training, thus creating accurate predictions. But most of the business entities lack the facilities and resources to develop an AI system. There is a need for a platform, to which the business can outsource the process of data collection, model development, and its deployment. These models should be tailored for each use case. The work presented here attempts to address these issues using blockchain and incremental learning. The transactions and user identification in the platform are implemented using blockchain, thus maintaining the ownership of the model and dataset in a transparent, immutable and decentralized manner. Incremental learning algorithms are employed to facilitate the real-time updation of the model. All the models and the datasets collected in the platform are considered resources. The platform opens up an avenue for developing a marketplace for data and trained models.

Keywords


Blockchain, Incremental Learning, AI as a Service, Data Market Place.

References