Biscotti: A Ledger for Private and Secure Peer-to-Peer Machine Learning

v1v2v3v4 (latest)

Biscotti: A Ledger for Private and Secure Peer-to-Peer Machine Learning

24 November 2018

Muhammad Shayan

Chris J. M. Yoon

Ivan Beschastnikh

ArXiv (abs)PDF HTML Github (108★)

Papers citing "Biscotti: A Ledger for Private and Secure Peer-to-Peer Machine Learning"

18 / 18 papers shown

Title
Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Christopher Subia-Waud 24 0 0 09 Jun 2025
IMFL-AIGC: Incentive Mechanism Design for Federated Learning Empowered by Artificial Intelligence Generated Content Guangjing Huang Qiong Wu Jingyi Li Xu Chen FedML 72 4 0 12 Jun 2024
A Survey of Federated Evaluation in Federated Learning Behnaz Soltani Yipeng Zhou Venus Haghighi John C. S. Lui FedML 113 13 0 14 May 2023
Over-The-Air Clustered Wireless Federated Learning Ayush Madhan-Sohini Divin Dominic Nazreen Shah Ranjitha Prasad 96 3 0 07 Nov 2022
Decentral and Incentivized Federated Learning Frameworks: A Systematic Literature Review Leon Witt Mathis Heyer Kentaroh Toyoda Wojciech Samek Dan Li FedML 118 48 0 07 May 2022
BEAS: Blockchain Enabled Asynchronous & Secure Federated Machine Learning A. Mondal Harpreet Virk Debayan Gupta 81 16 0 06 Feb 2022
Data-Quality Based Scheduling for Federated Edge Learning Afaf Taik Hajar Moudoud Soumaya Cherkaoui 78 18 0 27 Jan 2022
Reward-Based 1-bit Compressed Federated Distillation on Blockchain Leon Witt Usama Zafar KuoYeh Shen Felix Sattler Dan Li Wojciech Samek FedML 79 4 0 27 Jun 2021
Clustering Algorithm to Detect Adversaries in Federated Learning Krishna Yadav Senior Member Ieee B.B Gupta FedML 39 9 0 22 Feb 2021
FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots Ahmed Imteaj M. Amini 131 52 0 11 Jan 2021
A(DP) $^2$ SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent with Differential Privacy Jie Xu Wei Zhang Fei Wang FedML 71 8 0 21 Aug 2020
Dynamic Defense Against Byzantine Poisoning Attacks in Federated Learning Nuria Rodríguez-Barroso Eugenio Martínez-Cámara M. V. Luzón Francisco Herrera FedML AAML 95 36 0 29 Jul 2020
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective Sin Kit Lo Qinghua Lu Chen Wang Hye-Young Paik Liming Zhu FedML 161 84 0 22 Jul 2020
On the Convergence of Artificial Intelligence and Distributed Ledger Technology: A Scoping Review and Future Research Agenda Konstantin D. Pandl Scott Thiebes Manuel Schmidt-Kraepelin Ali Sunyaev 72 71 0 29 Jan 2020
Shielding Collaborative Learning: Mitigating Poisoning Attacks through Client-Side Detection Lingchen Zhao Shengshan Hu Qian Wang Jianlin Jiang Chao Shen Xiangyang Luo Pengfei Hu AAML 72 96 0 29 Oct 2019
Reliable Federated Learning for Mobile Networks Jiawen Kang Zehui Xiong Dusit Niyato Y. Zou Yang Zhang Mohsen Guizani FedML 55 468 0 14 Oct 2019
Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach Jiawen Kang Zehui Xiong Dusit Niyato Han Yu Ying-Chang Liang Dong In Kim FedML 109 218 0 16 May 2019
How To Backdoor Federated Learning Eugene Bagdasaryan Andreas Veit Yiqing Hua D. Estrin Vitaly Shmatikov SILM FedML 156 1,940 0 02 Jul 2018