Abstract: In some aspects, the techniques described herein relate to a method including: receiving, at a processor, a message sent by a sender to a user, the message including a message content item related to an item of interactive content; displaying, by the processor, the message to the user through a user interface (UI); receiving, by the processor, an input corresponding to an interaction between the user and the message content item in the UI, the input directing the processor to generate the interactive content; obtaining, by the processor, interactive content data related to the interactive content; generating, by the processor, the interactive content based on the interactive content data; and displaying, by the processor, the generated interactive content to the user through the UI.

Abstract: One or more computing devices, systems, and/or methods are provided. In an example, an email addressed to an email address associated with an email account is received. A request to display the email is received from a client device associated with the email account. In response to receiving the request to display the email, the email and a social interaction interface are displayed via an email interface on the client device. The social interaction interface includes one or more social interaction features. The one or more social interaction features include a commenting feature, a feedback feature and/or a chat feature.

Abstract: A method for distributed machine learning (ML) which includes providing a first dataset including a first set of labels to a plurality of local computing devices including a first local computing device and a second local computing device. The method further includes receiving, from the first local computing device, a first set of ML model probabilities values from training a first local ML model using the first set of labels. The method further includes receiving, from the second local computing device, a second set of ML model probabilities values from training a second local ML model using the first set of labels and one or more labels different from any label in the first set of labels. The method further includes generating a weights matrix using the received first set of ML model probabilities values and the received second set of MIL model probabilities values. The method further includes generating a third set of ML model probabilities values by sampling using the generated weights matrix.

Abstract: In some aspects, the techniques described herein relate to a method including: receiving, at a processor, a message sent by a sender to a user, the message including a message content item related to an item of interactive content; displaying, by the processor, the message to the user through a user interface (UI); receiving, by the processor, an input corresponding to an interaction between the user and the message content item in the UI, the input directing the processor to generate the interactive content; obtaining, by the processor, interactive content data related to the interactive content; generating, by the processor, the interactive content based on the interactive content data; and displaying, by the processor, the generated interactive content to the user through the UI.

Abstract: A method for distributed learning at a local computing device is provided. The method includes: training a local model of a first model type on local data, wherein the local data comprises a first set of labels; testing the local model on a portion of global data pertaining to the first set of labels, wherein the global data comprises a second set of labels and the first set of labels is a strict subset of the second set of labels; as a result of testing the local model on the portion of the global data pertaining to the first set of labels, producing a first set of probabilities corresponding to the first set of labels; and sending the first set of probabilities corresponding to the first set of labels to a central computing device.

Abstract: One or more computing devices, systems, and/or methods are provided. In an example, an email addressed to an email address associated with an email account is received. A request to display the email is received from a client device associated with the email account. In response to receiving the request to display the email, the email and a social interaction interface are displayed via an email interface on the client device. The social interaction interface includes one or more social interaction features. The one or more social interaction features include a commenting feature, a feedback feature and/or a chat feature.