A Crowdsourcing Framework for On-Device Federated Learning

A Crowdsourcing Framework for On-Device Federated Learning

4 November 2019

Shashi Raj Pandey

Choong Seon Hong

Papers citing "A Crowdsourcing Framework for On-Device Federated Learning"

19 / 19 papers shown

Title
Ten Challenging Problems in Federated Foundation Models Tao Fan Hanlin Gu Xuemei Cao Chee Seng Chan Qian Chen ... Y. Zhang Xiaojin Zhang Zhenzhe Zheng Lixin Fan Qiang Yang FedML 89 4 0 14 Feb 2025
Privacy-Aware Data Acquisition under Data Similarity in Regression Markets Shashi Raj Pandey Pierre Pinson P. Popovski 40 0 0 05 Dec 2023
Distributed Stochastic Gradient Descent with Cost-Sensitive and Strategic Agents Abdullah Basar Akbay C. Tepedelenlioğlu FedML 15 0 0 05 Dec 2022
Strategic Coalition for Data Pricing in IoT Data Markets Shashi Raj Pandey Pierre Pinson P. Popovski 29 5 0 15 Jun 2022
A Marketplace for Trading AI Models based on Blockchain and Incentives for IoT Data L. Nguyen Shashi Raj Pandey B. Soret A. Broering P. Popovski 42 20 0 06 Dec 2021
Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective Xuezhen Tu Kun Zhu Nguyen Cong Luong Dusit Niyato Yang Zhang Juan Li FedML AI4CE 38 119 0 20 Nov 2021
Towards Fairness-Aware Federated Learning Yuxin Shi Han Yu Cyril Leung FedML 21 79 0 02 Nov 2021
A Blockchain based Federated Learning for Message Dissemination in Vehicular Networks Ferheen Ayaz Zhengguo Sheng Daxin Tian Y. L. Guan 18 52 0 11 Sep 2021
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning Zelei Liu Yuanyuan Chen Han Yu Yang Liu Li-zhen Cui FedML TDI 27 124 0 05 Sep 2021
On Addressing Heterogeneity in Federated Learning for Autonomous Vehicles Connected to a Drone Orchestrator I. Donevski J. J. Nielsen P. Popovski 35 7 0 05 Aug 2021
Faithful Edge Federated Learning: Scalability and Privacy Meng Zhang Ermin Wei R. Berry FedML 26 44 0 30 Jun 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence Emna Baccour N. Mhaisen A. Abdellatif A. Erbad Amr M. Mohamed Mounir Hamdi Mohsen Guizani 28 86 0 04 May 2021
Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges Dinh C. Nguyen Ming Ding Viet Quoc Pham P. Pathirana Long Bao Jun Seneviratne Jun Li Dusit Niyato Life Fellow Ieee Poor FedML 30 417 0 05 Apr 2021
An Exploratory Analysis on Users' Contributions in Federated Learning Jiyue Huang Rania Talbi Zilong Zhao S. Bouchenak L. Chen Stefanie Roos FedML 26 30 0 13 Nov 2020
Adaptive Federated Learning and Digital Twin for Industrial Internet of Things Wen Sun S. Lei Lu Wang Zhiqiang Liu Yan Zhang FedML AI4CE 32 197 0 25 Oct 2020
An Incentive Mechanism for Federated Learning in Wireless Cellular network: An Auction Approach T. Le N. H. Tran Y. Tun Minh N. H. Nguyen Shashi Raj Pandey Zhu Han Choong Seon Hong FedML 15 152 0 22 Sep 2020
Estimation of Individual Device Contributions for Incentivizing Federated Learning Takayuki Nishio R. Shinkuma N. Mandayam FedML 14 31 0 20 Sep 2020
Trading Data For Learning: Incentive Mechanism For On-Device Federated Learning Rui Hu Yanmin Gong FedML 22 63 0 11 Sep 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