The Role of Cross-Silo Federated Learning in Facilitating Data Sharing in the Agri-Food Sector

14 April 2021

Papers citing "The Role of Cross-Silo Federated Learning in Facilitating Data Sharing in the Agri-Food Sector"

7 / 7 papers shown

Title
Enhancing Strawberry Yield Forecasting with Backcasted IoT Sensor Data and Machine Learning Tewodros Alemu Ayall Andy Li Matthew Beddows Milan Markovic Georgios Leontidis 34 0 0 25 Apr 2025
Federated learning in food research Zuzanna Fendor Bas H. M. van der Velden Xinxin Wang Andrea Jr. Carnoli Osman Mutlu Ali Hürriyetoğlu FedML 46 0 0 10 Jun 2024
FLEE-GNN: A Federated Learning System for Edge-Enhanced Graph Neural Network in Analyzing Geospatial Resilience of Multicommodity Food Flows Yuxiao Qu Jinmeng Rao Song Gao Qianheng Zhang Wei-Lun Chao Yu-Chuan Su Michelle Miller Alfonso Morales Patrick Huber FedML 28 2 0 20 Oct 2023
Asynchronous Collaborative Learning Across Data Silos Tiffany Tuor J. Lockhart Daniele Magazzeni FedML 37 3 0 23 Mar 2022
EDLaaS: Fully Homomorphic Encryption Over Neural Network Graphs for Vision and Private Strawberry Yield Forecasting George Onoufriou Marc Hanheide Georgios Leontidis FedML 24 4 0 26 Oct 2021
Fully Homomorphically Encrypted Deep Learning as a Service George Onoufriou Paul Mayfield Georgios Leontidis FedML 8 19 0 26 Jul 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 168 787 0 15 Feb 2021