公开(公告)号：US20230066792A1

公开(公告)日：2023-03-02

申请号：US17859408

申请日：2022-07-07

Applicant: Seagate Technology LLC

Inventor： Xiong Liu ,  Barish Chakravarty ,  Lihong Zhang ,  Akhil Namboori ,  Hui Ning Tan

IPC: G02B26/00

Abstract: A digital microfluidic (DMF) system based on an electrowetting-on-dielectric mechanism includes a substrate, and at least one dielectric layer comprising diamond-like carbon over the substrate. The DMF system also includes a plurality of electrodes connected to the dielectric layer. A voltage source is selectively couplable to different electrodes of the plurality of electrodes.

公开(公告)号：US20210357800A1

公开(公告)日：2021-11-18

申请号：US15930776

申请日：2020-05-13

Applicant: Seagate Technology LLC

Inventor： Naman Sharma ,  Varun Reddy Boddu ,  Alphonsus John Kwok Kwong Heng ,  Hui Ning Tan

IPC: G06N20/00 ,  H04L29/08

Abstract: Systems and methods are disclosed for distributed decentralized machine learning model training. In certain embodiments, a first node in a network may comprise a circuit configured to receive an initial machine learning model having an initial parameter set, apply the local data to update parameters of the initial machine learning model to generate an updated machine learning model, transmit a copy of the updated machine learning model from the first node to a plurality of neighboring nodes in the network via a network interface, receive, via the network interface, a modified machine learning model from a first neighboring node, the modified machine learning model having parameters set based on local data of the first neighboring node, modify the updated machine learning model based on the modified machine learning model, and apply the updated machine learning model to control operations at the first node.