Hao Chen

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 15

Top Topics

Alternating Direction Method Of Multipliers

Horizontally Partitioned

Convex Optimization

Top Venues

IEEE Internet Things J.

Publications

Hao Chen, Yu Ye, Ming Xiao, Mikael Skoglund
Asynchronous Parallel Incremental Block-Coordinate Descent for Decentralized Machine Learning. IEEE Trans. Big Data 9 (4) (2023)
Hao Chen, Shaocheng Huang, Deyou Zhang, Ming Xiao, Mikael Skoglund, H. Vincent Poor
Federated Learning Over Wireless IoT Networks With Optimized Communication and Resources. IEEE Internet Things J. 9 (17) (2022)
Hao Chen, Yu Ye, Ming Xiao, Mikael Skoglund
Asynchronous Parallel Incremental Block-Coordinate Descent for Decentralized Machine Learning. CoRR (2022)
Hao Chen, Ming Xiao, Zhibo Pang
Satellite-Based Computing Networks with Federated Learning. IEEE Wirel. Commun. 29 (1) (2022)
Yang You, Kai You, Hao Chen, Tobias J. Oechtering
On Data-Driven Self-Calibration for IoT-Based Gas Concentration Monitoring Systems. IEEE Internet Things J. 9 (15) (2022)
Hao Chen, Ming Xiao, Zhibo Pang
Satellite Based Computing Networks with Federated Learning. CoRR (2021)
Hao Chen, Yu Ye, Ming Xiao, Mikael Skoglund, H. Vincent Poor
Coded Stochastic ADMM for Decentralized Consensus Optimization With Edge Computing. IEEE Internet Things J. 8 (7) (2021)
Hao Chen, Shaocheng Huang, Deyou Zhang, Ming Xiao, Mikael Skoglund, H. Vincent Poor
Federated Learning over Wireless IoT Networks with Optimized Communication and Resources. CoRR (2021)
Yu Ye, Hao Chen, Ming Xiao, Mikael Skoglund, H. Vincent Poor
Privacy-preserving Incremental ADMM for Decentralized Consensus Optimization. CoRR (2020)
Yu Ye, Hao Chen, Zheng Ma, Ming Xiao
Decentralized Consensus Optimization Based on Parallel Random Walk. IEEE Commun. Lett. 24 (2) (2020)
Yu Ye, Hao Chen, Ming Xiao, Mikael Skoglund, H. Vincent Poor
Privacy-Preserving Incremental ADMM for Decentralized Consensus Optimization. IEEE Trans. Signal Process. 68 (2020)
Yu Ye, Hao Chen, Ming Xiao, Mikael Skoglund, H. Vincent Poor
Incremental ADMM with Privacy-Preservation for Decentralized Consensus Optimization. ISIT (2020)
Hao Chen, Yu Ye, Ming Xiao, Mikael Skoglund, H. Vincent Poor
Coded Stochastic ADMM for Decentralized Consensus Optimization with Edge Computing. CoRR (2020)
Igor Meireles de Araújo, Carlos Natalino, Hao Chen, Marilet De Andrade, Diego Lisboa Cardoso, Paolo Monti
Availability-Guaranteed Service Function Chain Provisioning with Optional Shared Backups. DRCN (2020)
Yu Ye, Hao Chen, Zheng Ma, Ming Xiao
Decentralized Consensus Optimization Based on Parallel Random Walk. CoRR (2019)