252 citations · 263 across the 2 of their papers we have counts for
5 papers
Privacy Preserving Demand Forecasting to Encourage Consumer Acceptance of Smart Energy Meters
Christopher Briggs, Zhong Fan, Peter Andras
In this proposal paper we highlight the need for privacy preserving energy demand forecasting to allay a major concern consumers have about smart meter installations. High resoluti…
Federated learning with hierarchical clustering of local updates to improve training on non-IID data
Christopher Briggs, Zhong Fan, Peter Andras
Federated learning (FL) is a well established method for performing machine learning tasks over massively distributed data. However in settings where data is distributed in a non-i…
A Review of Privacy-preserving Federated Learning for the Internet-of-Things
Christopher Briggs, Zhong Fan, Peter Andras
The Internet-of-Things (IoT) generates vast quantities of data, much of it attributable to individuals' activity and behaviour. Gathering personal data and performing machine learn…
A Bayesian Interpretation of the Particle Swarm Optimization and Its Kernel Extension
Peter Andras
Particle swarm optimization is a popular method for solving difficult optimization problems. There have been attempts to formulate the method in formal probabilistic or stochastic…
Simulation of Robustness against Lesions of Cortical Networks
Marcus Kaiser, Robert Martin, Peter Andras +1
Structure entails function and thus a structural description of the brain will help to understand its function and may provide insights into many properties of brain systems, from…