Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach

16 May 2019

Dusit Niyato

Papers citing "Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach"

27 / 27 papers shown

Title
PQS-BFL: A Post-Quantum Secure Blockchain-based Federated Learning Framework Daniel Commey Garth V. Crosby 41 0 0 03 May 2025
Paid with Models: Optimal Contract Design for Collaborative Machine Learning Bingchen Wang Zhaoxuan Wu Fusheng Liu Bryan Kian Hsiang Low 83 0 0 03 Jan 2025
Blockchain-based Optimized Client Selection and Privacy Preserved Framework for Federated Learning Elizabeth Salesky Susanne Burger Jan Niehues Huansheng Ning FedML 8 0 0 25 Jul 2023
A Framework for Incentivized Collaborative Learning Xinran Wang Qi Le Ahmad Faraz Khan Jie Ding A. Anwar FedML 37 4 0 26 May 2023
FedDebug: Systematic Debugging for Federated Learning Applications Waris Gill A. Anwar Muhammad Ali Gulzar FedML 31 11 0 09 Jan 2023
Distributed Stochastic Gradient Descent with Cost-Sensitive and Strategic Agents Abdullah Basar Akbay C. Tepedelenlioğlu FedML 12 0 0 05 Dec 2022
A Snapshot of the Frontiers of Client Selection in Federated Learning Gergely Németh M. Lozano Novi Quadrianto Nuria Oliver FedML 107 14 0 27 Sep 2022
Scheduling Algorithms for Federated Learning with Minimal Energy Consumption L. Pilla 26 15 0 13 Sep 2022
Mechanisms that Incentivize Data Sharing in Federated Learning Sai Praneeth Karimireddy Wenshuo Guo Michael I. Jordan FedML 33 45 0 10 Jul 2022
A Comprehensive Review on Blockchains for Internet of Vehicles: Challenges and Directions Brian Hildebrand Mohamed Baza Tara Salman Fathi H. Amsaad Abdul Razaqu Abdullah Alourani 33 45 0 21 Mar 2022
Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards Sebastian Shenghong Tay Xinyi Xu Chuan-Sheng Foo Bryan Kian Hsiang Low SyDa 24 32 0 17 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 35 119 0 20 Nov 2021
Towards Fairness-Aware Federated Learning Yuxin Shi Han Yu Cyril Leung FedML 21 79 0 02 Nov 2021
Game of Gradients: Mitigating Irrelevant Clients in Federated Learning Lokesh Nagalapatti Mahdi S. Hosseini FedML 24 75 0 23 Oct 2021
Dynamic Attention-based Communication-Efficient Federated Learning Zihan Chen Kai Fong Ernest Chong Tony Q.S. Quek FedML 47 11 0 12 Aug 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
Reward-Based 1-bit Compressed Federated Distillation on Blockchain Leon Witt Usama Zafar KuoYeh Shen Felix Sattler Dan Li Wojciech Samek FedML 35 4 0 27 Jun 2021
Federated Learning: Opportunities and Challenges P. Mammen FedML 48 212 0 14 Jan 2021
Bandwidth Allocation for Multiple Federated Learning Services in Wireless Edge Networks Jie Xu Heqiang Wang Lixing Chen FedML 56 43 0 10 Jan 2021
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Xingjun Ma Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 183 355 0 07 Dec 2020
Throughput-Optimal Topology Design for Cross-Silo Federated Learning Othmane Marfoq Chuan Xu Giovanni Neglia Richard Vidal FedML 67 85 0 23 Oct 2020
Estimation of Individual Device Contributions for Incentivizing Federated Learning Takayuki Nishio R. Shinkuma N. Mandayam FedML 12 31 0 20 Sep 2020
Trading Data For Learning: Incentive Mechanism For On-Device Federated Learning Rui Hu Yanmin Gong FedML 20 63 0 11 Sep 2020
Resource Management for Blockchain-enabled Federated Learning: A Deep Reinforcement Learning Approach Nguyen Quang Hieu Tran The Anh Nguyen Cong Luong Dusit Niyato Dong In Kim E. Elmroth 16 20 0 08 Apr 2020
Learning to Detect Malicious Clients for Robust Federated Learning Suyi Li Yong Cheng Wei Wang Yang Liu Tianjian Chen AAML FedML 21 223 0 01 Feb 2020
Abnormal Client Behavior Detection in Federated Learning Suyi Li Yong Cheng Yang Liu Wei Wang Tianjian Chen AAML 8 134 0 22 Oct 2019
FedMD: Heterogenous Federated Learning via Model Distillation Daliang Li Junpu Wang FedML 27 831 0 08 Oct 2019