We consider the convex-concave saddle point problem , where the decision variables and/or are subject to certain multi-block structure and affine coupling constraints, and possesses certain separa…
Visible light communication (VLC) has emerged as a promising communication method in the special field of 6G, such as intersatellite communication (ISC) and underwater wireless optical communicatio…
Coherent technology is a promising solution for future 100-Gb/s and even 200-Gb/s single-wavelength time-division multiplexing passive optical network (TDM-PON) systems. One of the key issues for c…
Coherent passive optical network (PON) has been proposed to support the next generation high-speed optical access network owing to the superior receiver sensitivity and thereby the extended power b…
High-speed optical transmission systems suffer from severe inter-symbol interferences (ISIs) and nonlinear distortions due to the limited bandwidth and the nonlinear response of optical and electri…
Reinforcement learning algorithms rely on carefully engineering environment rewards that are extrinsic to agents. However, environments with dense rewards are rare, motivating the need for developi…
Knowledge transfer (KT) plays a key role in multitask optimization. However, most of the existing KT methods still face two challenges. First, the tasks may commonly have different dimensionalities…
Recent studies show that deep neural networks are vulnerable to adversarial attacks in the form of subtle perturbations to the input image, which leads the model to output wrong prediction. Such an…
Evolutionary algorithms (EAs) possess strong problem-solving abilities and have been applied in a wide range of applications. However, they still suffer from a high computational burden and poor ge…
In this work, we study a generic class of decentralized algorithms in which agents jointly optimize the nonconvex objective function , while only communicating with their neighbors. This class of…