Data-Free Evaluation of User Contributions in Federated Learning

24 August 2021

Papers citing "Data-Free Evaluation of User Contributions in Federated Learning"

8 / 8 papers shown

Title
Redefining Contributions: Shapley-Driven Federated Learning Nurbek Tastan Samar Fares Toluwani Aremu Samuel Horváth Karthik Nandakumar FedML 41 5 0 01 Jun 2024
Incentives in Private Collaborative Machine Learning Rachael Hwee Ling Sim Yehong Zhang Nghia Hoang Xinyi Xu K. H. Low Patrick Jaillet 41 5 0 02 Apr 2024
Training Machine Learning models at the Edge: A Survey Aymen Rayane Khouas Mohamed Reda Bouadjenek Hakim Hacid Sunil Aryal 37 11 0 05 Mar 2024
Multi-Task Model Personalization for Federated Supervised SVM in Heterogeneous Networks Aleksei A. Ponomarenko-Timofeev O. Galinina Ravikumar Balakrishnan N. Himayat Sergey D. Andreev Y. Koucheryavy FedML 18 3 0 17 Mar 2023
Adaptive incentive for cross-silo federated learning: A multi-agent reinforcement learning approach Shijing Yuan Hongze Liu Hongtao Lv Zhanbo Feng Jie Li Hongyang Chen Chentao Wu AI4CE FedML 15 0 0 15 Feb 2023
PASS: A Parameter Audit-based Secure and Fair Federated Learning Scheme against Free-Rider Attack Jianhua Wang Xiaolin Chang J. Misic Vojislav B. Mišić Yixiang Wang 24 7 0 15 Jul 2022
Decentral and Incentivized Federated Learning Frameworks: A Systematic Literature Review Leon Witt Mathis Heyer Kentaroh Toyoda Wojciech Samek Dan Li FedML 35 47 0 07 May 2022
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 43 119 0 20 Nov 2021