Cost-Minimized Design for TWDM-PON-Based 5G Mobile Backhaul Networks. - Hao Chen 048; Yongcheng Li; Sanjay K. Bose; Weidong Shao; Lian Xiang; Yiran Ma; Gangxiang Shen (JOCN, 2016)

Availability-Guaranteed Service Function Chain Provisioning with Optional Shared Backups. - Igor Meireles de Araújo; Carlos Natalino; Hao Chen 048; Marilet De Andrade; Diego Lisboa Cardoso; Paolo Monti 001 (DRCN, 2020)

Incremental ADMM with Privacy-Preservation for Decentralized Consensus Optimization. - Yu Ye 001; Hao Chen 048; Ming Xiao 001; Mikael Skoglund; H. Vincent Poor (ISIT, 2020)

Decentralized Consensus Optimization Based on Parallel Random Walk. - Yu Ye 001; Hao Chen 048; Zheng Ma 001; Ming Xiao 001 (IEEE Commun. Lett., 2020)

Privacy-Preserving Incremental ADMM for Decentralized Consensus Optimization. - Yu Ye 001; Hao Chen 048; Ming Xiao 001; Mikael Skoglund; H. Vincent Poor (IEEE Trans. Signal Process., 2020)

Coded Stochastic ADMM for Decentralized Consensus Optimization With Edge Computing. - Hao Chen 048; Yu Ye 001; Ming Xiao 001; Mikael Skoglund; H. Vincent Poor (IEEE Internet Things J., 2021)

Federated Learning Over Wireless IoT Networks With Optimized Communication and Resources. - Hao Chen 048; Shaocheng Huang 001; Deyou Zhang; Ming Xiao 001; Mikael Skoglund; H. Vincent Poor (IEEE Internet Things J., 2022)

On Data-Driven Self-Calibration for IoT-Based Gas Concentration Monitoring Systems. - Yang You 002; Kai You; Hao Chen 048; Tobias J. Oechtering (IEEE Internet Things J., 2022)

Satellite-Based Computing Networks with Federated Learning. - Hao Chen 048; Ming Xiao 001; Zhibo Pang (IEEE Wirel. Commun., 2022)

Reliable and Efficient Distributed Machine Learning. - Hao Chen 048 (2022)

Asynchronous Parallel Incremental Block-Coordinate Descent for Decentralized Machine Learning. - Hao Chen 048; Yu Ye 001; Ming Xiao 001; Mikael Skoglund (IEEE Trans. Big Data, 2023)