14 citations · 21 across the 4 of their papers we have counts for
4 papers
CEC: Crowdsourcing-based Evolutionary Computation for Distributed Optimization
Feng-Feng Wei, Wei-Neng Chen, Xiao-Qi Guo +3
Crowdsourcing is an emerging computing paradigm that takes advantage of the intelligence of a crowd to solve complex problems effectively. Besides collecting and processing data, i…
When Evolutionary Computation Meets Privacy
Bowen Zhao, Wei-Neng Chen, Xiaoguo Li +3
Recently, evolutionary computation (EC) has been promoted by machine learning, distributed computing, and big data technologies, resulting in new research directions of EC like dis…
Evolution as a Service: A Privacy-Preserving Genetic Algorithm for Combinatorial Optimization
Bowen Zhao, Wei-Neng Chen, Feng-Feng Wei +3
Evolutionary algorithms (EAs), such as the genetic algorithm (GA), offer an elegant way to handle combinatorial optimization problems (COPs). However, limited by expertise and reso…
When Crowdsensing Meets Federated Learning: Privacy-Preserving Mobile Crowdsensing System
Bowen Zhao, Ximeng Liu, Wei-neng Chen
Mobile crowdsensing (MCS) is an emerging sensing data collection pattern with scalability, low deployment cost, and distributed characteristics. Traditional MCS systems suffer from…