Differentially Private Distributed Online Optimization in Time-varying Networks via Dual Averaging Push

Distributed online optimization allows several nodes in the network to collaboratively minimize the sum of time-varying local cost functions at each moment through information exchange. However, frequent interactions are prone to leakage of sensitive information. Meanwhile, the actual communication networks can be time-varying and unbalanced. To address such a problem, we proposed the differential...