US 2026/0156581 A1 · TECHNIQUES FOR CHANNEL AWARE BROADCAST FEDERATED LEARNING IN WIRELESS COMMUNICATIONS

Abstract

Aspects described herein relate to signals transmitted in federated learning (FL) of a neural network (NN) using wireless communications. A transmitting device can generate an analog modulation signal to indicate an updated value for one or more coefficients for a federated learning (FL) procedure for a neural network, and the transmitting device can transmit the analog modulation signal over time and frequency resources configured for a UE group of multiple UE groups, where each UE group of the multiple UE groups is associated with a range of values of a measured signal metric. The receiving device can receive a combined signal from one or more UE groups and can normalize the received signal by power to determine the combined coefficient update for the NN.

Claims20

Dependent claims

An apparatus for wireless communication, comprising:

a transceiver;
one or more memories configured to, individually or in combination, store instructions;
and
one or more processors communicatively coupled with the one or more memories, wherein the one or more processors are, individually or in combination, configured to execute the instructions to cause the apparatus to:
generate an analog modulation signal to indicate an updated value for one or more coefficients for a federated learning (FL) procedure for a neural network;
and
transmit the analog modulation signal over time and frequency resources configured for a user equipment (UE) group of multiple UE groups, wherein each UE group of the multiple UE groups is associated with a range of values of a measured signal metric.

4 more elements

Dependencies are inferred from the claim text.

Techniques for channel aware broadcast federated learning in wireless communications

Life of this patent

Techniques for channel aware broadcast federated learning in wireless communications

Life of this patent

Abstract

Claims20