Invention Grant
- Patent Title: Systems and methods for communication efficient distributed mean estimation
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Application No.: US17502794Application Date: 2021-10-15
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Publication No.: US11785073B2Publication Date: 2023-10-10
- Inventor: Ananda Theertha Suresh , Sanjiv Kumar , Hugh Brendan McMahan , Xinnan Yu
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: GOOGLE LLC
- Current Assignee: GOOGLE LLC
- Current Assignee Address: US CA Mountain View
- Agency: Dority & Manning, P.A.
- Main IPC: H04L67/10
- IPC: H04L67/10 ; G06F17/16 ; H03M7/30 ; H03M7/40 ; G06F17/12 ; G06N20/00 ; G06F17/18 ; G06N7/01 ; H04L67/01

Abstract:
The present disclosure provides systems and methods for communication efficient distributed mean estimation. In particular, aspects of the present disclosure can be implemented by a system in which a number of vectors reside on a number of different clients, and a centralized server device seeks to estimate the mean of such vectors. According to one aspect of the present disclosure, a client computing device can rotate a vector by a random rotation matrix and then subsequently perform probabilistic quantization on the rotated vector. According to another aspect of the present disclosure, subsequent to quantization but prior to transmission, the client computing can encode the quantized vector according to a variable length coding scheme (e.g., by computing variable length codes).
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