Abstract: Systems, methods, and apparatus, including computer-readable media, for deploying and updating machine learning models over a communication network. In some implementations, a system receives log data from a plurality of devices in a communication network. Each of the plurality of devices stores a local copy of a machine learning model and uses the machine learning model to manage network traffic at the device. The system trains the machine learning model based on the received log data to change parameters of the machine learning model, for example, to more accurately predict a network traffic management parameter in response to receiving input indicating characteristics of the network traffic flows. The system broadcasts an update for the machine learning model to the plurality of devices using a multicast transmission, with the update being based on the changed parameters of the machine learning model.

Abstract: Some implementations of the disclosure are directed to a method, comprising: receiving a plurality of traffic flows transmitted by a plurality of user devices; determining, at a modem, a user device of the user devices that is associated with each of the traffic flows; classifying, at the modem, each of the traffic flows according to a class of service associated with a traffic class; and allocating, at the modem, bandwidth to each of the traffic flows based on the traffic flow's class of service and the user device associated with the traffic flow. A total available bandwidth may be allocated to the traffic flows as a function of traffic classes associated with the traffic flows, the classes of services associated with the traffic flows, and the user devices that transmitted the traffic flows.

Abstract: Some implementations of the disclosure are directed to a method, comprising: receiving a plurality of traffic flows transmitted by a plurality of user devices; determining, at a modem, a user device of the user devices that is associated with each of the traffic flows; classifying, at the modem, each of the traffic flows according to a class of service associated with a traffic class; and allocating, at the modem, bandwidth to each of the traffic flows based on the traffic flow's class of service and the user device associated with the traffic flow. A total available bandwidth may be allocated to the traffic flows as a function of traffic classes associated with the traffic flows, the classes of services associated with the traffic flows, and the user devices that transmitted the traffic flows.