Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness

arXiv:2402.12319v1 Announce Type: new
Abstract: The fairness-aware online learning framework has emerged as a potent tool within the context of continuous lifelong learning. In this scenario, the learner's objective is to progressively acquire new tasks as they arrive over time, while also guaranteeing statistical parity among various protected sub-populations, such as race and gender, when it comes to the newly introduced tasks. A significant limitation of current approaches lies in their heavy reliance on the i.i.d (independent and identically distributed) …

abstract arxiv context continuous cs.ai cs.cy cs.lg dynamic environment fairness framework lifelong learning meta meta-learning online learning race responsive statistical tasks tool type