ExpertMatcher: Automating ML Model Selection for Clients using Hidden Representations

9 Oct 2019Vivek SharmaPraneeth VepakommaTristan SwedishKen ChangJayashree Kalpathy-CramerRamesh Raskar

Recently, there has been the development of Split Learning, a framework for distributed computation where model components are split between the client and server (Vepakomma et al., 2018b). As Split Learning scales to include many different model components, there needs to be a method of matching client-side model components with the best server-side model components... (read more)

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