2CP: Decentralized Protocols to Transparently Evaluate Contributivity in Blockchain Federated Learning Environments

15 November 2020

Papers citing "2CP: Decentralized Protocols to Transparently Evaluate Contributivity in Blockchain Federated Learning Environments"

7 / 7 papers shown

Title
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 264 6,285 0 10 Dec 2019
Privacy-Preserving Blockchain Based Federated Learning with Differential Data Sharing Anudit Nagar 33 21 0 10 Dec 2019
Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging Luis Muñoz-González Kenneth T. Co Emil C. Lupu FedML 70 184 0 11 Sep 2019
Applied Federated Learning: Improving Google Keyboard Query Suggestions Timothy Yang Galen Andrew Hubert Eichner Haicheng Sun Wei Li Nicholas Kong Daniel Ramage F. Beaufays FedML 87 626 0 07 Dec 2018
A generic framework for privacy preserving deep learning Wenbo Guo Yunzhe Tao Morten Dahl Sui Huang Masashi Sugiyama Daniel Rueckert Lin Lin FedML 104 438 0 09 Nov 2018
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 406 17,593 0 17 Feb 2016
IPFS - Content Addressed, Versioned, P2P File System J. Benet 81 1,808 0 14 Jul 2014