公开(公告)号：US20230281502A1

公开(公告)日：2023-09-07

申请号：US17683886

申请日：2022-03-01

Applicant: Cisco Technology, Inc.

Inventor： Harshit Daga ,  Myungjin LEE ,  Ramana Rao V. R. KOMPELLA

IPC: G06N20/00 ,  H04L41/12

CPC classification number: G06N20/00 ,  H04L41/12

Abstract: In one embodiment, a device provides, to a user interface, data representing a topology of a federated learning system configured across nodes in a computer network. Each node in the topology has an assigned role and is connected to at least one other node via a connector that is dependent on its assigned role. The device receives, via the user interface, a requested change to the topology of the federated learning system. The device selects, based on assigned roles of those nodes affected by the requested change to the topology of the federated learning system, code for execution by those nodes. The device implements the requested change to the topology of the federated learning system in part by sending the code selected by the device to those nodes affected by the requested change.

公开(公告)号：US20230179630A1

公开(公告)日：2023-06-08

申请号：US17541508

申请日：2021-12-03

Applicant: Cisco Technology, Inc.

Inventor： Ashish Kundu ,  Myungjin LEE ,  Ramana Rao V. R. KOMPELLA

IPC: G06N20/20

CPC classification number: H04L63/1491 ,  G06N20/20

Abstract: In one embodiment, a device identifies a plurality of nodes of a distributed or federated learning system. The device receives model training results from the plurality of nodes. The device determines, based in part on the model training results or information about the plurality of nodes, whether a particular node or subset of nodes in the plurality of nodes provided fraudulent model training results. The device initiates a corrective measure with respect to the particular node or subset of nodes, based on a determination that the particular node or subset of nodes provided fraudulent model training results, in accordance with a policy.

公开(公告)号：US20240281683A1

公开(公告)日：2024-08-22

申请号：US18651011

申请日：2024-04-30

Applicant: Cisco Technology, Inc.

Inventor： Hugo LATAPIE ,  Ozkan KILIC ,  Ramana Rao V. R. KOMPELLA ,  Myungjin LEE ,  Simon Matthew YOUNG

IPC: G06N5/043 ,  G06N3/042 ,  G06N3/088 ,  G06N5/02

CPC classification number: G06N5/043 ,  G06N3/042 ,  G06N5/02 ,  G06N3/088

Abstract: In one embodiment, a device maintains a metamodel that describes a monitored system. The metamodel comprises a plurality of layers ranging from a sub-symbolic space to a symbolic space. The device tracks updates to the metamodel over time. The device updates the metamodel based in part on sub-symbolic time series data generated by the monitored system. The device receives, from a learning agent, a request for the updates to a particular layer of the metamodel associated with a specified time period. The device provides, to the learning agent, data indicative of one or more updates to the particular layer of the metamodel associated with the specified time period.