OPTIMIZED DISTRIBUTED PRIVATE MATRIX MULTIPLICATION

    公开(公告)号:US20230079663A1

    公开(公告)日:2023-03-16

    申请号:US17942087

    申请日:2022-09-09

    Applicant: Apple Inc.

    Abstract: Methods, systems, and computer programs for distributed processing of a matrix data structure is disclosed. In one aspect, the method can include obtaining a first matrix data structure (DS), segmenting the obtained matrix DS into a set of M different matrix DS portions, segmenting each of the different M matrix DS portions into respective sets of K matrix DS sub-portions, for each of the respective sets of K matrix DS sub-portions: generating an obfuscation matrix having the same dimensions as each of the K matrix DS sub-portions, and generating, by one or more computers, an obfuscated representation of each respective set of K matrix DS sub-portions that includes (i) the K matrix DS sub-portions and (ii) the obfuscation matrix, and transmitting data representing each (of the N) obfuscated representation of the (K) matrix DS sub-portions of the respective sets of M matrix DS portions to a different computer for processing.

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