Abstract: Systems and methods herein train weight-agnostic networks in a federated learning setting with orthogonal data distribution. Unlike traditional networks, weight-agnostic networks have a small size and can be trained using neural architecture search. The methods and systems described herein include sharing of a subset of networks between clients to allow federated learning for weight-agnostic networks in which clients do not have samples from all classes.

Abstract: Various embodiments of systems and methods for image matching and retrieval process are disclosed.

Abstract: Various embodiments disclosed herein relate to systems and methods for image matching involving the segmentation of images into regions and then defining and computing features of these regions to further identify geometrical relationships between the regions.

Abstract: Various embodiments of systems and methods for image matching and retrieval process are disclosed.

Abstract: A system and method for securing access to sensitive content on the web is disclosed. The approach automates compartmentalization practices for accessing different kinds of content with different browser instances. The automation is transparent to the user and does not require any modification of how non-sensitive content is accessed. For sensitive content, a Fresh Browser Instance (FBI) is automatically created to access the content. In addition, the automatic FBI system may provide support for novice users with predefined sensitive content sites as well as for more experienced users who can define conflict of interest (COI) classes which allows content from sites in the same user-defined class to coexist in a browser instance.

Abstract: Various embodiments disclosed herein relate to systems and methods for image matching involving the segmentation of images into regions and then defining and computing features of these regions to further identify geometrical relationships between the regions.

Abstract: A system and method for securing access to sensitive content on the web is disclosed. The approach automates compartmentalization practices for accessing different kinds of content with different browser instances. The automation is transparent to the user and does not require any modification of how non-sensitive content is accessed. For sensitive content, a Fresh Browser Instance (FBI) is automatically created to access the content. In addition, the automatic FBI system may provide support for novice users with predefined sensitive content sites as well as for more experienced users who can define conflict of interest (COI) classes which allows content from sites in the same user-defined class to coexist in a browser instance.

Abstract: A system and method for securing access to sensitive content on the web is disclosed. The approach automates compartmentalization practices for accessing different kinds of content with different browser instances. The automation is transparent to the user and does not require any modification of how non-sensitive content is accessed. For sensitive content, a Fresh Browser Instance (FBI) is automatically created to access the content. In addition, the automatic FBI system may provide support for novice users with predefined sensitive content sites as well as for more experienced users who can define conflict of interest (COI) classes which allows content from sites in the same user-defined class to coexist in a browser instance.