Balancing Accuracy and Integrity for Reconfigurable Intelligent Surface-aided Over-the-Air Federated Learning

17 July 2022

Papers citing "Balancing Accuracy and Integrity for Reconfigurable Intelligent Surface-aided Over-the-Air Federated Learning"

9 / 9 papers shown

Title
Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey Yichen Wan Youyang Qu Wei Ni Yong Xiang Longxiang Gao Ekram Hossain AAML 49 33 0 14 Dec 2023
Semi-Federated Learning: Convergence Analysis and Optimization of A Hybrid Learning Framework Jingheng Zheng Wanli Ni Hui Tian Deniz Gunduz Tony Q. S. Quek Zhu Han FedML 35 8 0 04 Oct 2023
Source Inference Attacks: Beyond Membership Inference Attacks in Federated Learning Hongsheng Hu Xuyun Zhang Z. Salcic Lichao Sun K. Choo Gillian Dobbie 16 16 0 30 Sep 2023
Blockchained Federated Learning for Internet of Things: A Comprehensive Survey Yanna Jiang Baihe Ma Xu Wang Ping Yu Guangsheng Yu Zhe Wang Weiquan Ni R. Liu AI4CE 28 19 0 08 May 2023
Multi-Carrier NOMA-Empowered Wireless Federated Learning with Optimal Power and Bandwidth Allocation Weicai Li Tiejun Lv Yashuai Cao Wei Ni M. Peng 25 10 0 13 Feb 2023
A Survey on Over-the-Air Computation Alphan Șahin Rui Yang 31 76 0 20 Oct 2022
Energy and Spectrum Efficient Federated Learning via High-Precision Over-the-Air Computation Liang Li Chenpei Huang Dian Shi Hao Wang Xiangwei Zhou Minglei Shu Miao Pan FedML 34 9 0 15 Aug 2022
Federated Dropout -- A Simple Approach for Enabling Federated Learning on Resource Constrained Devices Dingzhu Wen Ki-Jun Jeon Kaibin Huang FedML 70 90 0 30 Sep 2021
Blind Federated Edge Learning M. Amiri T. Duman Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor 73 92 0 19 Oct 2020