Training

Ternary Compression for Communication-Efficient Federated Learning
Learning over massive data stored in different locations is essential in many real-world applications. However, sharing data is full of …
Jinjin Xu, Wenli Du, Yaochu Jin, Wangli He, Ran Cheng
Cite DOI
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning Towards Asynchronous Commercial Games
Despite the emerging progress of integrating evolutionary computation into reinforcement learning, the absence of a high-performance …
Hui Bai, Ruimin Shen, Yue Lin, Botian Xu, Ran Cheng
Cite DOI
Efficient Evolutionary Search of Attention Convolutional Networks via Sampled Training and Node Inheritance
The performance of deep neural networks is heavily dependent on its architecture and various neural architecture search strategies have …
Haoyu Zhang, Yaochu Jin, Ran Cheng, Kuangrong Hao
Cite DOI
Guiding Evolutionary Multiobjective Optimization With Generic Front Modeling
In evolutionary multiobjective optimization, the Pareto front (PF) is approximated by using a set of representative candidate solutions …
Ye Tian, Xingyi Zhang, Ran Cheng, Cheng He, Yaochu Jin
Cite DOI