Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges

5 April 2021

Ming Ding

Dusit Niyato

Life Fellow Ieee Poor

FedML

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Papers citing "Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges"

36 / 86 papers shown

Title
Trustworthy Federated Learning via Blockchain Zhanpeng Yang Yuanming Shi Yong Zhou Zixin Wang Kai Yang 34 68 0 13 Aug 2022
A Fast Blockchain-based Federated Learning Framework with Compressed Communications Laizhong Cui Xiaoxin Su Yipeng Zhou FedML 22 23 0 12 Aug 2022
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 46 90 0 05 Aug 2022
Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State of the Art and Future Directions Qiang Duan Shijing Hu Ruijun Deng Zhihui Lu FedML 31 61 0 20 Jul 2022
Unsupervised Recurrent Federated Learning for Edge Popularity Prediction in Privacy-Preserving Mobile Edge Computing Networks Chong Zheng Shengheng Liu Yongming Huang Wei Zhang Luxi Yang 15 20 0 02 Jul 2022
FAIR-BFL: Flexible and Incentive Redesign for Blockchain-based Federated Learning Rongxin Xu Shiva Raj Pokhrel Qiujun Lan Gang Li 19 7 0 26 Jun 2022
APPFLChain: A Privacy Protection Distributed Artificial-Intelligence Architecture Based on Federated Learning and Consortium Blockchain Jun-Teng Yang Wen-Yuan Chen Che-Hua Li S. Huang Hsiao-Chun Wu 11 2 0 26 Jun 2022
Gradient Obfuscation Gives a False Sense of Security in Federated Learning Kai Yue Richeng Jin Chau-Wai Wong D. Baron H. Dai FedML 33 46 0 08 Jun 2022
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing Wei Xu Zhaohui Yang Derrick Wing Kwan Ng Marco Levorato Yonina C. Eldar Mérouane Debbah 28 398 0 01 Jun 2022
Integration of Blockchain and Edge Computing in Internet of Things: A Survey He Xue Dajiang Chen Ning Zhang Hongning Dai Lingnan University 23 82 0 26 May 2022
On the Decentralization of Blockchain-enabled Asynchronous Federated Learning F. Wilhelmi Elia Guerra Paolo Dini 27 6 0 20 May 2022
Decentral and Incentivized Federated Learning Frameworks: A Systematic Literature Review Leon Witt Mathis Heyer Kentaroh Toyoda Wojciech Samek Dan Li FedML 33 47 0 07 May 2022
Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration Henna Kokkonen Lauri Lovén Naser Hossein Motlagh Abhishek Kumar Juha Partala ... M. Bennis Sasu Tarkoma Schahram Dustdar Susanna Pirttikangas J. Riekki 33 26 0 03 May 2022
HCFL: A High Compression Approach for Communication-Efficient Federated Learning in Very Large Scale IoT Networks Minh-Duong Nguyen Sangmin Lee Viet Quoc Pham D. Hoang Diep N. Nguyen W. Hwang 28 28 0 14 Apr 2022
Enabling All In-Edge Deep Learning: A Literature Review Praveen Joshi Mohammed Hasanuzzaman Chandra Thapa Haithem Afli T. Scully 34 22 0 07 Apr 2022
Aerial Computing: A New Computing Paradigm, Applications, and Challenges Viet Quoc Pham Rukhsana Ruby Fang Fang Dinh C. Nguyen Zhaohui Yang Mai Le Zhiguo Ding W. Hwang 24 55 0 05 Apr 2022
Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing Dinh C. Nguyen Seyyedali Hosseinalipour David J. Love P. Pathirana Christopher G. Brinton 34 47 0 18 Mar 2022
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning Chuan Ma Jun Li Kang Wei Bo Liu Ming Ding Long Yuan Zhu Han H. Vincent Poor 54 42 0 18 Feb 2022
Cross-Silo Heterogeneous Model Federated Multitask Learning Xingjian Cao Zonghang Li Gang Sun Hongfang Yu Mohsen Guizani FedML 27 10 0 17 Feb 2022
End-to-End Latency Analysis and Optimal Block Size of Proof-of-Work Blockchain Applications F. Wilhelmi Sergio Barrachina-Muñoz Paolo Dini 14 30 0 03 Feb 2022
A Comprehensive Survey on Federated Learning: Concept and Applications Dhurgham Hassan Mahlool Mohammed Hamzah Abed FedML 23 22 0 23 Jan 2022
Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges Nuria Rodríguez-Barroso Daniel Jiménez López M. V. Luzón Francisco Herrera Eugenio Martínez-Cámara FedML 37 212 0 20 Jan 2022
Analysis and Evaluation of Synchronous and Asynchronous FLchain F. Wilhelmi L. Giupponi Paolo Dini 23 5 0 15 Dec 2021
Federated Learning for Smart Healthcare: A Survey Dinh C. Nguyen Viet Quoc Pham P. Pathirana Ming Ding Aruna Seneviratne Zihuai Lin O. Dobre W. Hwang FedML 19 513 0 16 Nov 2021
Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges Mohammad M. Al-Quraan Lina S. Mohjazi Lina Bariah A. Centeno A. Zoha Sami Muhaidat Mérouane Debbah Muhammad Ali Imran 22 62 0 14 Nov 2021
DACFL: Dynamic Average Consensus Based Federated Learning in Decentralized Topology Zhikun Chen Daofeng Li Jinkang Zhu Sihai Zhang FedML 34 8 0 10 Nov 2021
Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances Shibo Zhang Yaxuan Li Shen Zhang Farzad Shahabi S. Xia Yuanbei Deng N. Alshurafa BDL 23 295 0 31 Oct 2021
Blockchain and Federated Edge Learning for Privacy-Preserving Mobile Crowdsensing Qin Hu Zhilin Wang Minghui Xu Xiuzhen Cheng 40 33 0 16 Oct 2021
Federated Learning for COVID-19 Detection with Generative Adversarial Networks in Edge Cloud Computing Dinh C. Nguyen Ming Ding P. Pathirana Aruna Seneviratne Albert Y. Zomaya FedML MedIm 36 84 0 14 Oct 2021
Blockchain and AI-based Solutions to Combat Coronavirus (COVID-19)-like Epidemics: A Survey Dinh C. Nguyen Ming Ding P. Pathirana Aruna Seneviratne 28 179 0 28 Jun 2021
Blockchain Assisted Federated Learning over Wireless Channels: Dynamic Resource Allocation and Client Scheduling Xiumei Deng Jun Li Chuan Ma Kang Wei Long Shi Ming Ding Wen Chen H. Vincent Poor 17 34 0 31 May 2021
Blockchain Systems, Technologies and Applications: A Methodology Perspective Bin Cao Zixin Wang Long Zhang Daquan Feng M. Peng Lei Zhang 30 61 0 08 May 2021
Wireless Federated Learning (WFL) for 6G Networks -- Part I: Research Challenges and Future Trends Pavlos S. Bouzinis P. Diamantoulakis G. Karagiannidis 18 48 0 24 Apr 2021
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
Survey of Personalization Techniques for Federated Learning V. Kulkarni Milind Kulkarni Aniruddha Pant FedML 182 326 0 19 Mar 2020
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 144 1,687 0 14 Apr 2018