Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

ACE: Towards Application-Centric Edge-Cloud Collaborative Intelligence



Luhui Wang , Cong Zhao , Shusen Yang , Xinyu Yang , Julie McCann

* Accepted by Communications of the ACM (CACM), Contributed Article 

   Access Paper or Ask Questions

Towards Efficient and Stable K-Asynchronous Federated Learning with Unbounded Stale Gradients on Non-IID Data



Zihao Zhou , Yanan Li , Xuebin Ren , Shusen Yang


   Access Paper or Ask Questions

Latent Dirichlet Allocation Model Training with Differential Privacy



Fangyuan Zhao , Xuebin Ren , Shusen Yang , Qing Han , Peng Zhao , Xinyu Yang


   Access Paper or Ask Questions

CDC: Classification Driven Compression for Bandwidth Efficient Edge-Cloud Collaborative Deep Learning



Yuanrui Dong , Peng Zhao , Hanqiao Yu , Cong Zhao , Shusen Yang

* Accepted by IJCAI 2020 

   Access Paper or Ask Questions

OL4EL: Online Learning for Edge-cloud Collaborative Learning on Heterogeneous Edges with Resource Constraints



Qing Han , Shusen Yang , Xuebin Ren , Cong Zhao , Jingqi Zhang , Xinyu Yang

* 7 pages, 5 figures, to appear in IEEE Communications Magazine 

   Access Paper or Ask Questions

Asynchronous Federated Learning with Differential Privacy for Edge Intelligence



Yanan Li , Shusen Yang , Xuebin Ren , Cong Zhao


   Access Paper or Ask Questions

Impact of Prior Knowledge and Data Correlation on Privacy Leakage: A Unified Analysis



Yanan Li , Xuebin Ren , Shusen Yang , Xinyu Yang

* IEEE Transactions on Information Forensics and Security, vol. 14, no. 9, pp. 2342-2357, Sept. 2019 

   Access Paper or Ask Questions

On Privacy Protection of Latent Dirichlet Allocation Model Training



Fangyuan Zhao , Xuebin Ren , Shusen Yang , Xinyu Yang

* 8 pages,5 figures,and is published in International Joint Conferences on Artificial Intelligence 

   Access Paper or Ask Questions