Power Allocation for Wireless Federated Learning using Graph Neural Networks

15 November 2021

Papers citing "Power Allocation for Wireless Federated Learning using Graph Neural Networks"

8 / 8 papers shown

Title
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence Liekang Zeng Shengyuan Ye Xu Chen Xiaoxi Zhang Ju Ren Jian Tang Yang Yang Xuemin Shen 52 2 0 08 Jan 2025
Stochastic Unrolled Federated Learning Samar Hadou Navid Naderializadeh Alejandro Ribeiro FedML 16 5 0 24 May 2023
Learning to Transmit with Provable Guarantees in Wireless Federated Learning Boning Li Jake B. Perazzone A. Swami Santiago Segarra 11 4 0 18 Apr 2023
A State-Augmented Approach for Learning Optimal Resource Management Decisions in Wireless Networks Yiugit Berkay Uslu Navid Naderializadeh Mark Eisen Alejandro Riberio University of Pennsylvania 11 0 0 28 Oct 2022
State-Augmented Learnable Algorithms for Resource Management in Wireless Networks Navid Naderializadeh Mark Eisen Alejandro Ribeiro 14 16 0 05 Jul 2022
Federated Graph Neural Networks: Overview, Techniques and Challenges R. Liu Pengwei Xing Zichao Deng Anran Li Cuntai Guan Han Yu FedML 27 81 0 15 Feb 2022
Quantizing data for distributed learning Osama A. Hanna Yahya H. Ezzeldin Christina Fragouli Suhas Diggavi FedML 26 19 0 14 Dec 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 136 1,663 0 14 Apr 2018