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Autor:
Cai, Huaiguang
Understanding the decision-making process of machine learning models is crucial for ensuring trustworthy machine learning. Data Shapley, a landmark study on data valuation, advances this understanding by assessing the contribution of each datum to mo
Externí odkaz:
http://arxiv.org/abs/2406.11730
With edge intelligence, AI models are increasingly pushed to the edge to serve ubiquitous users. However, due to the drift of model, data, and task, AI model deployed at the edge suffers from degraded accuracy in the inference serving phase. Model re
Externí odkaz:
http://arxiv.org/abs/2405.16029