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

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

24 November 2018

Muhammad Shayan

Chris J. M. Yoon

Ivan Beschastnikh

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

14 / 14 papers shown

Title
SPIRT: A Fault-Tolerant and Reliable Peer-to-Peer Serverless ML Training Architecture Amine Barrak Mayssa Jaziri Ranim Trabelsi Fehmi Jaafar Fábio Petrillo 44 2 0 25 Sep 2023
A Survey of Federated Evaluation in Federated Learning Behnaz Soltani Yipeng Zhou Venus Haghighi John C. S. Lui FedML 36 12 0 14 May 2023
P4L: Privacy Preserving Peer-to-Peer Learning for Infrastructureless Setups Ioannis Arapakis P. Papadopoulos Kleomenis Katevas Diego Perino 24 7 0 26 Feb 2023
Over-The-Air Clustered Wireless Federated Learning Ayush Madhan-Sohini Divin Dominic Nazreen Shah Ranjitha Prasad 29 2 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 35 47 0 07 May 2022
BEAS: Blockchain Enabled Asynchronous & Secure Federated Machine Learning A. Mondal Harpreet Virk Debayan Gupta 40 15 0 06 Feb 2022
DearFSAC: An Approach to Optimizing Unreliable Federated Learning via Deep Reinforcement Learning Chenghao Huang Weilong Chen Yuxi Chen Shunji Yang Yanru Zhang FedML 21 2 0 30 Jan 2022
Data-Quality Based Scheduling for Federated Edge Learning Afaf Taik Hajar Moudoud Soumaya Cherkaoui 36 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 40 4 0 27 Jun 2021
FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots Ahmed Imteaj M. Amini 83 51 0 11 Jan 2021
Dynamic Defense Against Byzantine Poisoning Attacks in Federated Learning Nuria Rodríguez-Barroso Eugenio Martínez-Cámara M. V. Luzón Francisco Herrera FedML AAML 21 35 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 48 83 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 35 69 0 29 Jan 2020
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 191 1,033 0 29 Nov 2018