US 2022/0104033 A1 · MACHINE LEARNING COMPONENT MANAGEMENT IN FEDERATED LEARNING

Abstract

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a client device may receive, using at least one lower layer of a wireless communication protocol stack, a machine learning component from a server device. The client device may transmit, to the server device and using the at least one lower layer, an update associated with the machine learning component, wherein transmitting the update comprises transmitting a plurality of transport blocks. Numerous other aspects are described.

Claims30

Dependent claims

An apparatus for wireless communication at a client device, comprising:

a memory;
and
one or more processors, coupled to the memory, configured to:
receive, using at least one lower layer of a wireless communication protocol stack, a machine learning component from a server device;
and
transmit, to the server device and using the at least one lower layer, an update associated with the machine learning component, wherein transmitting the update comprises transmitting a plurality of transport blocks.

3 more elements

Dependencies are inferred from the claim text.

Facts

Application

17/447,260Filed 9 Sep 2021

Priority

25 Sep 2020

Published

31 Mar 2022

Term ends

Not estimatedThe source records don’t support an estimate.

Classification22 codes

H04W 28/0215
Traffic management, e.g. flow control or congestion control: based on user or device properties, e.g. MTC-capable devices
G06N 3/0455
Combinations of networks: auto-encoder networks; Encoder-decoder networks
G06N 3/08
Neural networks: learning methods
G06N 3/098
Learning methods: distributed learning, e.g. federated learning

Machine learning component management in federated learning

Life of this patent

Machine learning component management in federated learning

Life of this patent

Abstract

Claims30