Search Results for author: George Onoufriou

Found 4 papers, 2 papers with code

Premonition Net, A Multi-Timeline Transformer Network Architecture Towards Strawberry Tabletop Yield Forecasting

no code implementations15 Nov 2022 George Onoufriou, Marc Hanheide, Georgios Leontidis

Yield forecasting is a critical first step necessary for yield optimisation, with important consequences for the broader food supply chain, procurement, price-negotiation, logistics, and supply.

EDLaaS: Fully Homomorphic Encryption Over Neural Network Graphs for Vision and Private Strawberry Yield Forecasting

no code implementations26 Oct 2021 George Onoufriou, Marc Hanheide, Georgios Leontidis

We present automatically parameterised Fully Homomorphic Encryption (FHE) for encrypted neural network inference and exemplify our inference over FHE compatible neural networks with our own open-source framework and reproducible examples.

Privacy Preserving

Fully Homomorphically Encrypted Deep Learning as a Service

1 code implementation26 Jul 2021 George Onoufriou, Paul Mayfield, Georgios Leontidis

Fully Homomorphic Encryption (FHE) is a relatively recent advancement in the field of privacy-preserving technologies.

Privacy Preserving

Nemesyst: A Hybrid Parallelism Deep Learning-Based Framework Applied for Internet of Things Enabled Food Retailing Refrigeration Systems

1 code implementation4 Jun 2019 George Onoufriou, Ronald Bickerton, Simon Pearson, Georgios Leontidis

Deep Learning has attracted considerable attention across multiple application domains, including computer vision, signal processing and natural language processing.

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