A Multi-Agent Framework for the Asynchronous and Collaborative Extension of Multitask ML Systems. (arXiv:2209.14745v1 [cs.LG])

Tradition ML development methodology does not enable a large number of
contributors, each with distinct objectives, to work collectively on the
creation and extension of a shared intelligent system. Enabling such a
collaborative methodology can accelerate the rate of innovation, increase ML
technologies accessibility and enable the emergence of novel capabilities. We
believe that this can be achieved through the definition of abstraction
boundaries and a modularized representation of ML models and methods. We
present a multi-agent framework for collaborative …

arxiv asynchronous collaborative extension framework systems