Paper on cost-efficient ML data preprocessing presented at ATC'24
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Oto Mraz and Dan Graur presented their work at ATC'24 (external pagehttps://www.usenix.org/conference/atc24) on Pecan, a cost-efficient ML data preprocessing system with automatic transformation ordering and hybrid placement. Joint work with Muyu Li, Chandu Thekkath (from Google) and Ana Klimovic.