ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2004.00773
  4. Cited By
A Blockchain-based Decentralized Federated Learning Framework with
  Committee Consensus

A Blockchain-based Decentralized Federated Learning Framework with Committee Consensus

2 April 2020
Yuzheng Li
Chuan Chen
Nan Liu
Huawei Huang
Zibin Zheng
Qiang Yan
    FedML
ArXivPDFHTML

Papers citing "A Blockchain-based Decentralized Federated Learning Framework with Committee Consensus"

50 / 91 papers shown
Title
Towards a Barrier-free GeoQA Portal: Natural Language Interaction with Geospatial Data Using Multi-Agent LLMs and Semantic Search
Towards a Barrier-free GeoQA Portal: Natural Language Interaction with Geospatial Data Using Multi-Agent LLMs and Semantic Search
Yu Feng
Puzhen Zhang
Guohui Xiao
Linfang Ding
Liqiu Meng
AI4CE
53
0
0
18 Mar 2025
LiteChain: A Lightweight Blockchain for Verifiable and Scalable Federated Learning in Massive Edge Networks
Handi Chen
Rui Zhou
Yun-Hin Chan
Zhihan Jiang
Xianhao Chen
Edith C. H. Ngai
50
0
0
06 Mar 2025
TrustChain: A Blockchain Framework for Auditing and Verifying Aggregators in Decentralized Federated Learning
TrustChain: A Blockchain Framework for Auditing and Verifying Aggregators in Decentralized Federated Learning
Ehsan Hallaji
R. Razavi-Far
M. Saif
41
0
0
23 Feb 2025
A new framework for prognostics in decentralized industries: Enhancing fairness, security, and transparency through Blockchain and Federated Learning
A new framework for prognostics in decentralized industries: Enhancing fairness, security, and transparency through Blockchain and Federated Learning
T.Q.D. Pham
K.D. Tran
Khanh T. P. Nguyen
X.V. Tran
K.P. Tran
K.P. Tran
AI4CE
36
0
0
17 Feb 2025
Proof-of-Data: A Consensus Protocol for Collaborative Intelligence
Proof-of-Data: A Consensus Protocol for Collaborative Intelligence
Huiwen Liu
Feida Zhu
Ling Cheng
39
0
0
06 Jan 2025
FedBlock: A Blockchain Approach to Federated Learning against Backdoor
  Attacks
FedBlock: A Blockchain Approach to Federated Learning against Backdoor Attacks
D. Nguyen
Phi Le Nguyen
T. Nguyen
Hieu H. Pham
D. Tran
FedML
29
0
0
05 Nov 2024
BF-Meta: Secure Blockchain-enhanced Privacy-preserving Federated
  Learning for Metaverse
BF-Meta: Secure Blockchain-enhanced Privacy-preserving Federated Learning for Metaverse
Wenbo Liu
Handi Chen
Edith C. H. Ngai
FedML
29
0
0
29 Oct 2024
Evolving Topics in Federated Learning: Trends, and Emerging Directions
  for IS
Evolving Topics in Federated Learning: Trends, and Emerging Directions for IS
Md Raihan Uddin
Gauri Shankar
Saddam Hossain Mukta
Prabhat Kumar
Najmul Islam
FedML
31
0
0
24 Sep 2024
Voltran: Unlocking Trust and Confidentiality in Decentralized Federated
  Learning Aggregation
Voltran: Unlocking Trust and Confidentiality in Decentralized Federated Learning Aggregation
Hao Wang
Yichen Cai
Jun Wang
Chuan Ma
Chunpeng Ge
Xiangmou Qu
Lu Zhou
38
1
0
13 Aug 2024
SOK: Blockchain for Provenance
SOK: Blockchain for Provenance
Asma Jodeiri Akbarfam
Hoda Maleki
25
0
0
25 Jul 2024
Proof-of-Collaborative-Learning: A Multi-winner Federated Learning
  Consensus Algorithm
Proof-of-Collaborative-Learning: A Multi-winner Federated Learning Consensus Algorithm
Amirreza Sokhankhosh
Sara Rouhani
FedML
19
1
0
17 Jul 2024
Detection of Global Anomalies on Distributed IoT Edges with
  Device-to-Device Communication
Detection of Global Anomalies on Distributed IoT Edges with Device-to-Device Communication
H. Ochiai
Riku Nishihata
Eisuke Tomiyama
Yuwei Sun
Hiroshi Esaki
14
3
0
16 Jul 2024
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive
  Survey and Challenges
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges
Yanli Li
Zhongliang Guo
Nan Yang
Huaming Chen
Dong Yuan
Weiping Ding
FedML
39
2
0
09 Jul 2024
On the Communication Complexity of Secure Multi-Party Computation With
  Aborts
On the Communication Complexity of Secure Multi-Party Computation With Aborts
James Bartusek
Thiago Bergamaschi
Seri Khoury
Saachi Mutreja
Orr Paradise
21
0
0
11 Jun 2024
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
17
1
0
05 Jun 2024
Wait or Not to Wait: Evaluating Trade-Offs between Speed and Precision
  in Blockchain-based Federated Aggregation
Wait or Not to Wait: Evaluating Trade-Offs between Speed and Precision in Blockchain-based Federated Aggregation
Huong Nguyen
Tri Nguyen
Lauri Lovén
Susanna Pirttikangas
FedML
21
0
0
31 May 2024
Federated Learning with Blockchain-Enhanced Machine Unlearning: A
  Trustworthy Approach
Federated Learning with Blockchain-Enhanced Machine Unlearning: A Trustworthy Approach
Xuhan Zuo
Minghao Wang
Tianqing Zhu
Lefeng Zhang
Shui Yu
Wanlei Zhou
MU
31
4
0
27 May 2024
Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations
Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations
Chuan Chen
Tianchi Liao
Xiaojun Deng
Zihou Wu
Sheng Huang
Zibin Zheng
FedML
41
1
0
16 May 2024
Communication-Efficient Training Workload Balancing for Decentralized
  Multi-Agent Learning
Communication-Efficient Training Workload Balancing for Decentralized Multi-Agent Learning
Seyed Mahmoud Sajjadi Mohammadabadi
Lei Yang
Feng Yan
Junshan Zhang
31
5
0
01 May 2024
MultiConfederated Learning: Inclusive Non-IID Data handling with
  Decentralized Federated Learning
MultiConfederated Learning: Inclusive Non-IID Data handling with Decentralized Federated Learning
Michael Duchesne
Kaiwen Zhang
Talhi Chamseddine
FedML
34
0
0
20 Apr 2024
OmniLytics+: A Secure, Efficient, and Affordable Blockchain Data Market
  for Machine Learning through Off-Chain Processing
OmniLytics+: A Secure, Efficient, and Affordable Blockchain Data Market for Machine Learning through Off-Chain Processing
Songze Li
Mingzhe Liu
Mengqi Chen
SyDa
18
1
0
17 Apr 2024
Open-Source AI-based SE Tools: Opportunities and Challenges of
  Collaborative Software Learning
Open-Source AI-based SE Tools: Opportunities and Challenges of Collaborative Software Learning
Zhihao Lin
Wei Ma
Tao Lin
Yaowen Zheng
Jingquan Ge
Jun Wang
Jacques Klein
Tegawende F. Bissyande
Yang Liu
Li Li
VLM
35
4
0
09 Apr 2024
Enhancing Trust and Privacy in Distributed Networks: A Comprehensive
  Survey on Blockchain-based Federated Learning
Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning
Ji Liu
Chunlu Chen
Yu Li
Lin Sun
Yulun Song
Jingbo Zhou
Bo Jing
Dejing Dou
46
9
0
28 Mar 2024
FedSR: A Semi-Decentralized Federated Learning Algorithm for Non-IIDness
  in IoT System
FedSR: A Semi-Decentralized Federated Learning Algorithm for Non-IIDness in IoT System
Jianjun Huang
Lixin Ye
Li Kang
FedML
14
3
0
19 Mar 2024
A Selective Review on Statistical Methods for Massive Data Computation:
  Distributed Computing, Subsampling, and Minibatch Techniques
A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques
Xuetong Li
Yuan Gao
Hong Chang
Danyang Huang
Yingying Ma
...
Ke Xu
Jing Zhou
Xuening Zhu
Yingqiu Zhu
Hansheng Wang
44
7
0
17 Mar 2024
Blockchain-empowered Federated Learning: Benefits, Challenges, and
  Solutions
Blockchain-empowered Federated Learning: Benefits, Challenges, and Solutions
Zeju Cai
Jianguo Chen
Yuting Fan
Zibin Zheng
Keqin Li
41
4
0
01 Mar 2024
Decentralized Federated Learning: A Survey on Security and Privacy
Decentralized Federated Learning: A Survey on Security and Privacy
Ehsan Hallaji
R. Razavi-Far
M. Saif
Boyu Wang
Qiang Yang
FedML
50
34
0
25 Jan 2024
Data Trading and Monetization: Challenges and Open Research Directions
Data Trading and Monetization: Challenges and Open Research Directions
Qusai Ramadan
Zeyd Boukhers
M. Alshaikh
Christoph Lange
Jan Jurjens
29
0
0
17 Jan 2024
Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated
  Learning
Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning
Zhangchen Xu
Fengqing Jiang
Luyao Niu
Jinyuan Jia
Radha Poovendran
26
0
0
10 Jan 2024
Privacy-Preserving in Blockchain-based Federated Learning Systems
Privacy-Preserving in Blockchain-based Federated Learning Systems
Sameera K.M.
S. Nicolazzo
Marco Arazzi
Antonino Nocera
Rafidha Rehiman K.A.
V. P.
Mauro Conti
33
25
0
07 Jan 2024
Distributed client selection with multi-objective in federated learning
  assisted Internet of Vehicles
Distributed client selection with multi-objective in federated learning assisted Internet of Vehicles
Narisu Cha
Long Chang
27
0
0
06 Jan 2024
zkDFL: An efficient and privacy-preserving decentralized federated
  learning with zero-knowledge proof
zkDFL: An efficient and privacy-preserving decentralized federated learning with zero-knowledge proof
Mojtaba Ahmadi
Reza Nourmohammadi
22
7
0
01 Dec 2023
Tokenized Model: A Blockchain-Empowered Decentralized Model Ownership
  Verification Platform
Tokenized Model: A Blockchain-Empowered Decentralized Model Ownership Verification Platform
Yihao Li
Yanyi Lai
Tianchi Liao
Chuan Chen
Zibin Zheng
28
2
0
27 Nov 2023
Robust softmax aggregation on blockchain based federated learning with
  convergence guarantee
Robust softmax aggregation on blockchain based federated learning with convergence guarantee
Huiyu Wu
Diego Klabjan
FedML
30
2
0
13 Nov 2023
Decentralized Personalized Online Federated Learning
Decentralized Personalized Online Federated Learning
Renzhi Wu
Saayan Mitra
Xiang Chen
Anup Rao
FedML
29
2
0
08 Nov 2023
A Blockchain-empowered Multi-Aggregator Federated Learning Architecture
  in Edge Computing with Deep Reinforcement Learning Optimization
A Blockchain-empowered Multi-Aggregator Federated Learning Architecture in Edge Computing with Deep Reinforcement Learning Optimization
Xiao Li
Wei Wu
26
0
0
14 Oct 2023
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
33
8
0
03 Oct 2023
Collaborative Distributed Machine Learning
Collaborative Distributed Machine Learning
Sumit Kumar Jha
Patrick Lincoln
Sascha Rank
Ali Sunyaev
30
1
0
28 Sep 2023
FedChain: An Efficient and Secure Consensus Protocol based on Proof of
  Useful Federated Learning for Blockchain
FedChain: An Efficient and Secure Consensus Protocol based on Proof of Useful Federated Learning for Blockchain
Peiran Wang
FedML
9
1
0
29 Aug 2023
A Survey on Decentralized Federated Learning
A Survey on Decentralized Federated Learning
Edoardo Gabrielli
Giovanni Pica
Gabriele Tolomei
FedML
27
26
0
08 Aug 2023
Blockchain-based Optimized Client Selection and Privacy Preserved
  Framework for Federated Learning
Blockchain-based Optimized Client Selection and Privacy Preserved Framework for Federated Learning
Elizabeth Salesky
Susanne Burger
J. Niehues
Huansheng Ning
FedML
6
0
0
25 Jul 2023
Heterogeneous Federated Learning: State-of-the-art and Research
  Challenges
Heterogeneous Federated Learning: State-of-the-art and Research Challenges
Mang Ye
Xiuwen Fang
Bo Du
PongChi Yuen
Dacheng Tao
FedML
AAML
39
244
0
20 Jul 2023
Defending Against Poisoning Attacks in Federated Learning with
  Blockchain
Defending Against Poisoning Attacks in Federated Learning with Blockchain
Nanqing Dong
Zhipeng Wang
Jiahao Sun
Michael C. Kampffmeyer
William Knottenbelt
Eric P. Xing
OOD
AAML
25
18
0
02 Jul 2023
A Survey on Blockchain-Based Federated Learning and Data Privacy
A Survey on Blockchain-Based Federated Learning and Data Privacy
Bipin Chhetri
Saroj Gopali
Rukayat Olapojoye
Samin Dehbashi
A. Namin
9
10
0
29 Jun 2023
Blockchain-Enabled Federated Learning: A Reference Architecture Design,
  Implementation, and Verification
Blockchain-Enabled Federated Learning: A Reference Architecture Design, Implementation, and Verification
Eunsu Goh
Dae-Yeol Kim
Kwangkee Lee
Suyeong Oh
Jong-Eui Chae
Do-Yup Kim
FedML
14
3
0
19 Jun 2023
Challenges and Remedies to Privacy and Security in AIGC: Exploring the
  Potential of Privacy Computing, Blockchain, and Beyond
Challenges and Remedies to Privacy and Security in AIGC: Exploring the Potential of Privacy Computing, Blockchain, and Beyond
Chuan Chen
Zhenpeng Wu
Yan-Hao Lai
Wen-chao Ou
Tianchi Liao
Zibin Zheng
25
32
0
01 Jun 2023
Trustworthy Federated Learning: A Survey
Trustworthy Federated Learning: A Survey
A. Tariq
M. Serhani
F. Sallabi
Tariq Qayyum
E. Barka
K. Shuaib
FedML
32
9
0
19 May 2023
A Blockchain-based Platform for Reliable Inference and Training of
  Large-Scale Models
A Blockchain-based Platform for Reliable Inference and Training of Large-Scale Models
Sanghyeon Park
Junmo Lee
Soo-Mook Moon
40
1
0
06 May 2023
Privacy Computing Meets Metaverse: Necessity, Taxonomy and Challenges
Privacy Computing Meets Metaverse: Necessity, Taxonomy and Challenges
Chuan Chen
Yuecheng Li
Zhenpeng Wu
Chengyuan Mai
Youming Liu
Yanming Hu
Zibin Zheng
Jiawen Kang
53
16
0
23 Apr 2023
FS-Real: Towards Real-World Cross-Device Federated Learning
FS-Real: Towards Real-World Cross-Device Federated Learning
Daoyuan Chen
Dawei Gao
Yuexiang Xie
Xuchen Pan
Zitao Li
Yaliang Li
Bolin Ding
Jingren Zhou
117
26
0
23 Mar 2023
12
Next