Nothing Wasted: Full Contribution Enforcement in Federated Edge Learning

Security Enforcement in the DOK Federated Database System

The Distributed Object Kernel (DOK) is a federated database system currently under development at the Royal Melbourne Institute of Technology. One of the issues currently under study is the development of a federated access control, as well a secure logical architecture allowing the DOK system to enforce federated security policies in the context of autonomous, distributed and heterogeneous dat...

Federated Access Control and Workflow Enforcement in Systems Configuration

Every organization with more than a few system administrators has policies in place. These policies define who is allowed to change what aspects of the configuration of a computer infrastructure. Althoughmany system configuration tools are available for automating configuration changes in an infrastructure, very little work has been done to enforce the policies dealing with access control and w...

Federated Multi-Task Learning

Federated learning poses new statistical and systems challenges in training machinelearning models over distributed networks of devices. In this work, we show thatmulti-task learning is naturally suited to handle the statistical challenges of thissetting, and propose a novel systems-aware optimization method, MOCHA, that isrobust to practical systems issues. Our method and theor...

Surrogacy: the case for full contractual enforcement.

Entity Resolution and Federated Learning get a Federated Resolution

Consider two data providers, each maintaining records of different feature sets about common entities. They aim to learn a linear model over the whole set of features. This problem of federated learning over vertically partitioned data includes a crucial upstream issue: entity resolution, i.e. finding the correspondence between the rows of the datasets. It is well known that entity resolution, ...