Non-uniform quantized feedback in federated learning
AssigneeQUALCOMM Incorporated
InventorsMahmoud TAHERZADEH BOROUJENI, Tao LUO, Taesang YOO, Hamed PEZESHKI
Life of this patent
Estimating the term…
Abstract
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a client device may determine a feedback associated with a machine learning component based at least in part on applying the machine learning component. Accordingly, the client device may transmit a quantized value based at least in part on the feedback. The quantized value is determined based at least in part on distances between the feedback and a non-uniform set of quantized digits. Numerous other aspects are provided.
Claims30
An apparatus for wireless communication at a client device, comprising:
- a memory;
- and
- one or more processors, coupled to the memory, configured to:
- determine a feedback associated with a machine learning component based at least in part on applying the machine learning component;
- and
- transmit a quantized value based at least in part on the feedback, wherein the quantized value is determined based at least in part on distances between the feedback and a non-uniform set of quantized digits.
An apparatus for wireless communication at a server device, comprising:
- a memory;
- and
- one or more processors, coupled to the memory, configured to:
- transmit, to a client device, a configuration associated with a machine learning component, wherein the machine learning component accepts one or more inputs to generate one or more outputs;
- and
- receive a quantized value based at least in part on feedback from the client device having applied the machine learning component, wherein the quantized value is determined based at least in part on distances between the feedback and a non-uniform set of quantized digits.
A method of wireless communication performed by a client device, comprising:
- determining a feedback associated with a machine learning component based at least in part on applying the machine learning component;
- and
- transmitting a quantized value based at least in part on the feedback, wherein the quantized value is determined based at least in part on distances between the feedback and a non-uniform set of quantized digits.
A method of wireless communication performed by a server device, comprising:
- transmitting, to a client device, a configuration associated with a machine learning component, wherein the machine learning component accepts one or more inputs to generate one or more outputs;
- and
- receiving a quantized value based at least in part on feedback from the client device having applied the machine learning component, wherein the quantized value is based at least in part on distances between the feedback and a non-uniform set of quantized digits.
Dependencies are inferred from the claim text.