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math.OC2022
Gradient-tracking based Distributed Optimization with Guaranteed Optimality under Noisy Information Sharing
Yongqiang Wang, Tamer Başar
Distributed optimization enables networked agents to cooperatively solve a global optimization problem even with each participating agent only having access to a local partial view…
math.OC2018
Privacy-preserving Decentralized Optimization via Decomposition
Chunlei Zhang, Huan Gao, Yongqiang Wang
This paper considers the problem of privacy-preservation in decentralized optimization, in which agents cooperatively minimize a global objective function that is the sum of $N…