Abstract: Homomorphic Encryption (HE) provides strong privacy guarantees by enabling computation directly on encrypted data, but at the cost of substantial computational overhead. Despite recent ...
Abstract: We present a formalization of an upcoming standard for floating-point formats for machine learning by the IEEE P3109 working group. This includes a definition of a number of small ( 16 bit) ...
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