A Critical Overview of Privacy-Preserving Approaches for Collaborative
Forecasting

A Critical Overview of Privacy-Preserving Approaches for Collaborative Forecasting

20 April 2020

Carla Gonccalves

Pierre Pinson

Papers citing "A Critical Overview of Privacy-Preserving Approaches for Collaborative Forecasting"

5 / 5 papers shown

Title
Privacy Preserving Ultra-Short-term Wind Power Prediction Based on Secure Multi Party Computation Hang Fan Xiaoyu Fan Tianyi Hao Wei Wei Kung Chen Guosai Wang Xiaofeng Jia Yidong Li Wei-ping Xu 33 3 0 31 Jan 2023
Wind Power Forecasting Considering Data Privacy Protection: A Federated Deep Reinforcement Learning Approach Yang Li Ruinong Wang Yuanzheng Li Meng Zhang Chao Long 21 176 0 02 Nov 2022
Revealing the Landscape of Privacy-Enhancing Technologies in the Context of Data Markets for the IoT: A Systematic Literature Review Gonzalo Munilla Garrido Johannes Sedlmeir Ömer Uludağ Ilias Soto Alaoui André Luckow Florian Matthes 30 46 0 25 Jul 2021
Forecasting: theory and practice F. Petropoulos D. Apiletti Vassilios Assimakopoulos M. Z. Babai Devon K. Barrow ... J. Arenas Xiaoqian Wang R. L. Winkler Alisa Yusupova F. Ziel AI4TS 36 363 0 04 Dec 2020
Distributed ARIMA Models for Ultra-long Time Series Xiaoqian Wang Yanfei Kang Rob J. Hyndman Feng Li AI4TS 6 50 0 19 Jul 2020