130 citations · 163 across the 3 of their papers we have counts for
3 papers
cs.NE2022
Distributed Evolution Strategies for Black-box Stochastic Optimization
Xiaoyu He, Zibin Zheng, Chuan Chen +3
This work concerns the evolutionary approaches to distributed stochastic black-box optimization, in which each worker can individually solve an approximation of the problem with na…
cs.NE2022★ 33 cited
MMES: Mixture Model based Evolution Strategy for Large-Scale Optimization
Xiaoyu He, Zibin Zheng, Yuren Zhou
This work provides an efficient sampling method for the covariance matrix adaptation evolution strategy (CMA-ES) in large-scale settings. In contract to the Gaussian sampling in CM…
cs.LG2021★ 130 cited
A Decentralized Federated Learning Framework via Committee Mechanism with Convergence Guarantee
Chunjiang Che, Xiaoli Li, Chuan Chen +2
Federated learning allows multiple participants to collaboratively train an efficient model without exposing data privacy. However, this distributed machine learning training metho…