Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a machine learning model having a set of local model parameters and a set of global model parameters under a partially local federated learning framework. One of the methods include maintaining local data and data defining the local model parameters; receiving data defining current values of the global model parameters; determining, based on the local data, the local model parameters, and the current values of the global model parameters, current values of the local model parameters; determining, based on the local data, the current values of the local model parameters, and the current values of the global model parameters, updated values of the global model parameters; generating, based on the updated values of the global model parameters, parameter update data defining an update to the global model parameters; and transmitting the parameter update data.

Abstract: A system and method for identifying an entity from a message exchange thread and generating a suggestion that is directed to the entity, such as a suggestion for a user to take an action on the entity. A suggestion application receives at least one electronic message from a message exchange thread, identifies an entity that can be actionable from the electronic message, determines contextual indicators of the entity, determines whether the entity is actionable based on the contextual indicators, and responsive to the entity being actionable, provides a suggestion that is directed to the entity to a participant(s) of the message exchange thread.

Abstract: A system and method for identifying an entity from a message exchange thread and generating a suggestion that is directed to the entity, such as a suggestion for a user to take an action on the entity. A suggestion application receives at least one electronic message from a message exchange thread, identifies an entity that can be actionable from the electronic message, determines contextual indicators of the entity, determines whether the entity is actionable based on the contextual indicators, and responsive to the entity being actionable, provides a suggestion that is directed to the entity to a participant(s) of the message exchange thread.

Abstract: A system and method for identifying an entity from a message exchange thread and generating a suggestion that is directed to the entity, such as a suggestion for a user to take an action on the entity. A suggestion application receives at least one electronic message from a message exchange thread, identifies an entity that can be actionable from the electronic message, determines contextual indicators of the entity, determines whether the entity is actionable based on the contextual indicators, and responsive to the entity being actionable, provides a suggestion that is directed to the entity to a participant(s) of the message exchange thread.

Abstract: A system and method for identifying an entity from a message exchange thread and generating a suggestion that is directed to the entity, such as a suggestion for a user to take an action on the entity. A suggestion application receives at least one electronic message from a message exchange thread, identifies an entity that can be actionable from the electronic message, determines contextual indicators of the entity, determines whether the entity is actionable based on the contextual indicators, and responsive to the entity being actionable, provides a suggestion that is directed to the entity to a participant(s) of the message exchange thread.