Decentralized Federated Learning Preserves Model and Data Privacy

1 February 2021

Papers citing "Decentralized Federated Learning Preserves Model and Data Privacy"

7 / 7 papers shown

Title
Federated and Transfer Learning for Cancer Detection Based on Image Analysis Amine Bechar Y. Elmir Yassine Himeur Rafik Medjoudj Abbes Amira MedIm 51 4 0 30 May 2024
Decentralized Federated Learning through Proxy Model Sharing Shivam Kalra Junfeng Wen Jesse C. Cresswell M. Volkovs Hamid R. Tizhoosh FedML 19 94 0 22 Nov 2021
Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud Jonathan Will Onur Arslan Jonathan Bader Dominik Scheinert L. Thamsen 24 4 0 15 Nov 2021
A2Log: Attentive Augmented Log Anomaly Detection Thorsten Wittkopp Alexander Acker S. Nedelkoski Jasmin Bogatinovski Dominik Scheinert Wu Fan O. Kao 32 22 0 20 Sep 2021
PPT: A Privacy-Preserving Global Model Training Protocol for Federated Learning in P2P Networks Qian Chen Zilong Wang Wenjing Zhang Xiaodong Lin FedML 33 17 0 30 May 2021
Federated Quantum Machine Learning Samuel Yen-Chi Chen Shinjae Yoo FedML AI4CE 24 117 0 22 Mar 2021
Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper Jasmin Bogatinovski S. Nedelkoski Alexander Acker Florian Schmidt Thorsten Wittkopp Soeren Becker Jorge Cardoso O. Kao AI4CE 16 15 0 15 Jan 2021