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BlockFLA: Accountable Federated Learning via Hybrid Blockchain
  Architecture

BlockFLA: Accountable Federated Learning via Hybrid Blockchain Architecture

14 October 2020
H. Desai
Mustafa Safa Ozdayi
Murat Kantarcioglu
    FedML
ArXivPDFHTML

Papers citing "BlockFLA: Accountable Federated Learning via Hybrid Blockchain Architecture"

14 / 14 papers shown
Title
Fantastyc: Blockchain-based Federated Learning Made Secure and Practical
Fantastyc: Blockchain-based Federated Learning Made Secure and Practical
William Boitier
Antonella del Pozzo
Álvaro García-Pérez
Stephane Gazut
Pierre Jobic
...
Aurélien Mayoue
Maxence Perion
T. F. Rezende
Deepika Singh
Sara Tucci-Piergiovanni
25
1
0
05 Jun 2024
FLEDGE: Ledger-based Federated Learning Resilient to Inference and
  Backdoor Attacks
FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks
Jorge Castillo
Phillip Rieger
Hossein Fereidooni
Qian Chen
Ahmad Sadeghi
FedML
AAML
41
8
0
03 Oct 2023
FederatedTrust: A Solution for Trustworthy Federated Learning
FederatedTrust: A Solution for Trustworthy Federated Learning
Pedro Miguel Sánchez Sánchez
Alberto Huertas Celdrán
Ning Xie
Gérome Bovet
Gregorio Martínez Pérez
Burkhard Stiller
36
21
0
20 Feb 2023
Federated Learning for Medical Applications: A Taxonomy, Current Trends,
  Challenges, and Future Research Directions
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions
A. Rauniyar
D. Hagos
Debesh Jha
J. E. Haakegaard
Ulas Bagci
D. Rawat
Vladimir Vlassov
OOD
48
91
0
05 Aug 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
38
47
0
07 May 2022
A review of Federated Learning in Intrusion Detection Systems for IoT
A review of Federated Learning in Intrusion Detection Systems for IoT
Aitor Belenguer
J. Navaridas
J. A. Pascual
28
15
0
26 Apr 2022
Incentive Mechanism Design for Joint Resource Allocation in
  Blockchain-based Federated Learning
Incentive Mechanism Design for Joint Resource Allocation in Blockchain-based Federated Learning
Zhilin Wang
Qin Hu
Ruinian Li
Minghui Xu
Zehui Xiong
FedML
55
49
0
18 Feb 2022
The Impact of Data Distribution on Fairness and Robustness in Federated
  Learning
The Impact of Data Distribution on Fairness and Robustness in Federated Learning
Mustafa Safa Ozdayi
Murat Kantarcioglu
FedML
OOD
24
4
0
29 Nov 2021
DFL: High-Performance Blockchain-Based Federated Learning
DFL: High-Performance Blockchain-Based Federated Learning
Yongding Tian
Zhuoran Guo
Jiaxuan Zhang
Zaid Al-Ars
OOD
FedML
31
10
0
28 Oct 2021
Blockchain and Federated Edge Learning for Privacy-Preserving Mobile
  Crowdsensing
Blockchain and Federated Edge Learning for Privacy-Preserving Mobile Crowdsensing
Qin Hu
Zhilin Wang
Minghui Xu
Xiuzhen Cheng
43
33
0
16 Oct 2021
SCEI: A Smart-Contract Driven Edge Intelligence Framework for IoT
  Systems
SCEI: A Smart-Contract Driven Edge Intelligence Framework for IoT Systems
Chenhao Xu
Jiaqi Ge
Yong Li
Yao Deng
Longxiang Gao
Mengshi Zhang
Yong Xiang
Xi Zheng
FedML
33
14
0
12 Mar 2021
Federated Learning: Opportunities and Challenges
Federated Learning: Opportunities and Challenges
P. Mammen
FedML
61
212
0
14 Jan 2021
Backdoor Learning: A Survey
Backdoor Learning: A Survey
Yiming Li
Yong Jiang
Zhifeng Li
Shutao Xia
AAML
45
590
0
17 Jul 2020
Analyzing Federated Learning through an Adversarial Lens
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
191
1,033
0
29 Nov 2018
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