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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
Clement Fung
Chris J. M. Yoon
Ivan Beschastnikh
    FedML
ArXiv (abs)PDFHTMLGithub (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
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
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
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
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
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
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
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
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
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
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
A(DP)2^22SGD: 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
Dynamic Defense Against Byzantine Poisoning Attacks in Federated Learning
Nuria Rodríguez-Barroso
Eugenio Martínez-Cámara
M. V. Luzón
Francisco Herrera
FedMLAAML
95
36
0
29 Jul 2020
A Systematic Literature Review on Federated Machine Learning: From A
  Software Engineering Perspective
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
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
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
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
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
How To Backdoor Federated Learning
Eugene Bagdasaryan
Andreas Veit
Yiqing Hua
D. Estrin
Vitaly Shmatikov
SILMFedML
156
1,940
0
02 Jul 2018
1