Abstract: This article provides a zeroth-order optimization framework for nonsmooth and possibly nonconvex cost functions with matrix parameters that are real and symmetric. We provide complexity ...
Abstract: Federated tuning of large models is an emerging paradigm that pushes the promising generative AI services into the network edge. However, as model sizes scale up, the conflicts between their ...
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