連合学習

An Efficient Learning Framework For Federated XGBoost Using Secret Sharing And Distributed Optimization

Authors: Lunchen Xie, Jiaqi Liu, Songtao Lu, Tsung-hui Chang, Qingjiang Shi | Published: 2021-05-12
分散学習
計算効率
連合学習

Federated Quantum Machine Learning

Authors: Samuel Yen-Chi Chen, Shinjae Yoo | Published: 2021-03-22
深層強化学習
連合学習
量子ニューラルネットワーク

Achieving Security and Privacy in Federated Learning Systems: Survey, Research Challenges and Future Directions

Authors: Alberto Blanco-Justicia, Josep Domingo-Ferrer, Sergio Martínez, David Sánchez, Adrian Flanagan, Kuan Eeik Tan | Published: 2020-12-12
DFLに対する攻撃手法
ポイズニング
連合学習

On Lightweight Privacy-Preserving Collaborative Learning for Internet of Things by Independent Random Projections

Authors: Linshan Jiang, Rui Tan, Xin Lou, Guosheng Lin | Published: 2020-12-11
データプライバシー評価
データ保護手法
連合学習

Privacy-preserving medical image analysis

Authors: Alexander Ziller, Jonathan Passerat-Palmbach, Théo Ryffel, Dmitrii Usynin, Andrew Trask, Ionésio Da Lima Costa Junior, Jason Mancuso, Marcus Makowski, Daniel Rueckert, Rickmer Braren, Georgios Kaissis | Published: 2020-12-10
データ保護手法
医療データの透かし設定
連合学習

BlockFLA: Accountable Federated Learning via Hybrid Blockchain Architecture

Authors: Harsh Bimal Desai, Mustafa Safa Ozdayi, Murat Kantarcioglu | Published: 2020-10-14
ブロックチェーン技術
ポイズニング
連合学習

Privacy-Preserving Object Detection & Localization Using Distributed Machine Learning: A Case Study of Infant Eyeblink Conditioning

Authors: Stefan Zwaard, Henk-Jan Boele, Hani Alers, Christos Strydis, Casey Lew-Williams, Zaid Al-Ars | Published: 2020-10-14
機械学習
連合学習
顔認識

A(DP)$^2$SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent with Differential Privacy

Authors: Jie Xu, Wei Zhang, Fei Wang | Published: 2020-08-21
メンバーシップ推論
情報理論的プライバシー
連合学習

Toward Smart Security Enhancement of Federated Learning Networks

Authors: Junjie Tan, Ying-Chang Liang, Nguyen Cong Luong, Dusit Niyato | Published: 2020-08-19
ポイズニング
ポイズニング攻撃
連合学習

Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy

Authors: Nuria Rodríguez-Barroso, Goran Stipcich, Daniel Jiménez-López, José Antonio Ruiz-Millán, Eugenio Martínez-Cámara, Gerardo González-Seco, M. Victoria Luzón, Miguel Ángel Veganzones, Francisco Herrera | Published: 2020-07-02 | Updated: 2020-10-06
プライバシー管理
機械学習
連合学習