Abstract:
Systems and methods are disclosed for generating term frequencies of known terms based on crowdsourced differentially private sketches of the known terms. An asset catalog can be updated with new frequency counts for known terms based on the crowdsourced differentially private sketches. Known terms can have a classification. A client device can maintain a privacy budget for each classification of known terms. Classifications can include emojis, deep links, locations, finance terms, and health terms, etc. A privacy budget ensures that a client does not transmit too much information to a term frequency server, thereby compromising the privacy of the client device.
Abstract:
Systems and methods are disclosed for generating term frequencies of known terms based on crowdsourced differentially private sketches of the known terms. An asset catalog can be updated with new frequency counts for known terms based on the crowdsourced differentially private sketches. Known terms can have a classification. A client device can maintain a privacy budget for each classification of known terms. Classifications can include emojis, deep links, locations, finance terms, and health terms, etc. A privacy budget ensures that a client does not transmit too much information to a term frequency server, thereby compromising the privacy of the client device.
Abstract:
An apparatus, method, and machine-readable medium are described for establishing peer-to-peer (“P2P”) communication channels. In particular, in one embodiment, a matchmaker service performs a series of operations to service match requests received from a group of mobile devices. In one embodiment, the matchmaker service groups the match requests into matchable sets based on the application for which the requests are received and one or more variables associated with the application. Match requests within each match set can then be matched based on variables such as the NAT type, connection type and language associated with each of the mobile devices. Other variables such as geographical location, experience level, and age of the match requests may also be used to render match decisions.
Abstract:
Registering a client computing device for online communication sessions. A registration server receives a message that has a push token that is unique to the client computing device and a phone number of the client computing device from an SMS (Short Message Service) transit device, which received an SMS message having the push token from the client computing device and determined the phone number of the client computing device from that SMS message. The registration server associates the push token and the phone number and stores it in a registration data store, which is used for inviting users for online communication sessions.
Abstract:
Modifying a notification on one client device can trigger the generation and transmission of a silent notification to another client device that is associated with the same user account. The silent notification can include instructions to query for and modify a similar notification, if present, on the other client device. Silent notifications that are undeliverable can be stored in offline storage and delivery can be reattempted at a later point in time.
Abstract:
In some implementations, a mobile device can be configured to monitor environmental, system and user events. The occurrence of one or more events can trigger adjustments to system settings. In some implementations, the mobile device can be configured to keep frequently invoked applications up to date based on a forecast of predicted invocations by the user. In some implementations, the mobile device can receive push notifications associated with applications that indicate that new content is available for the applications to download. The mobile device can launch the applications associated with the push notifications in the background and download the new content. In some implementations, before running an application or accessing a network interface, the mobile device can be configured to check energy and data budgets and environmental conditions of the mobile device to preserve a high quality user experience.
Abstract:
Registering a client computing device for online communication sessions. A registration server receives a message that has a push token that is unique to the client computing device and a phone number of the client computing device from an SMS (Short Message Service) transit device, which received an SMS message having the push token from the client computing device and determined the phone number of the client computing device from that SMS message. The registration server associates the push token and the phone number and stores it in a registration data store, which is used for inviting users for online communication sessions.
Abstract:
An apparatus, method, and machine-readable medium are described for establishing peer-to-peer (“P2P”) communication channels. In particular, in one embodiment, an invitation service performs a series of transactions to enable P2P communication between two or more mobile data processing devices. Prior to attempting to establish a P2P network communication channel, the invitation service may first collect network information for each of the mobile devices and use the network information to determine if a direct P2P network communication channel is feasible. If a direct connection is feasible, then the invitation service provides for direct P2P communication, pushing the necessary network information to each of the mobile devices. If, however, a direct connection is infeasible or if a direct connection is attempted and fails, then the invitation service may identify network information associated with a relay service. The network information may then be used by any pair of mobile devices to establish a connection through the relay service. In addition, in one embodiment, the invitation service can perform its functions without maintaining any per-connection state information for any of the mobile devices.
Abstract:
Embodiments described herein provide a technique to crowdsource labeling of training data for a machine learning model while maintaining the privacy of the data provided by crowdsourcing participants. Client devices can be used to generate proposed labels for a unit of data to be used in a training dataset. One or more privacy mechanisms are used to protect user data when transmitting the data to a server. The server can aggregate the proposed labels and use the most frequently proposed labels for an element as the label for the element when generating training data for the machine learning model. The machine learning model is then trained using the crowdsourced labels to improve the accuracy of the model.
Abstract:
Embodiments described herein provide a privacy mechanism to protect user data when transmitting the data to a server that estimates a frequency of such data amongst a set of client devices. One embodiment uses a differential privacy mechanism to enhance a user experience by inferring potential user preferences from analyzing crowdsourced user interaction data. Based on a statistical analysis of user interactions in relation to various features or events, development efforts with respect to application behavior may be refined or enhanced. For example, user interactions in relation to the presentation of content such as content from online sources may be analyzed. Accordingly, presentation settings or preferences may be defined based on the crowdsourced user interaction data.