A Secure Federated Data-Driven Evolutionary Multi-objective Optimization Algorithm

15 October 2022

Papers citing "A Secure Federated Data-Driven Evolutionary Multi-objective Optimization Algorithm"

7 / 7 papers shown

Title
Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning Yan Kang Hanlin Gu Xingxing Tang Yuanqin He Yuzhu Zhang Jinnan He Yuxing Han Lixin Fan Kai Chen Qiang Yang FedML 65 18 0 29 Apr 2023
Probably Approximately Correct Federated Learning Xiaojin Zhang Anbu Huang Lixin Fan Kai Chen Qiang Yang FedML 35 5 0 10 Apr 2023
When Evolutionary Computation Meets Privacy Bowen Zhao Wei Chen Xiaoguo Li Ximeng Liu Qingqi Pei Jun Zhang 21 3 0 22 Mar 2023
Bi-level Multi-objective Evolutionary Learning: A Case Study on Multi-task Graph Neural Topology Search Chao Wang Licheng Jiao Jiaxuan Zhao Lingling Li Xu Liu F. Liu Shuyuan Yang 37 5 0 06 Feb 2023
A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization Songbai Liu Qiuzhen Lin Jianqiang Li Kay Chen Tan 46 52 0 23 Jun 2022
A Federated Data-Driven Evolutionary Algorithm Jinjin Xu Yaochu Jin W. Du Sai Gu FedML 68 35 0 16 Feb 2021
Federated Bayesian Optimization via Thompson Sampling Zhongxiang Dai K. H. Low Patrick Jaillet FedML 89 111 0 20 Oct 2020