8 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.NE2021★ 1 cited
A Federated Data-Driven Evolutionary Algorithm for Expensive Multi/Many-objective Optimization
Jinjin Xu, Yaochu Jin, Wenli Du
Data-driven optimization has found many successful applications in the real world and received increased attention in the field of evolutionary optimization. Most existing algorith…
cs.LG2021★ 8 cited
Federated Learning on Non-IID Data: A Survey
Hangyu Zhu, Jinjin Xu, Shiqing Liu +1
Federated learning is an emerging distributed machine learning framework for privacy preservation. However, models trained in federated learning usually have worse performance than…
cs.NE2021★ 1 cited
A Federated Data-Driven Evolutionary Algorithm
Jinjin Xu, Yaochu Jin, Wenli Du +1
Data-driven evolutionary optimization has witnessed great success in solving complex real-world optimization problems. However, existing data-driven optimization algorithms require…