Caching is envisioned to play a critical role in next-generation content delivery infrastructure,
cellular networks, and Internet architectures. By smartly storing the most popular contents at …

Stochastic linear bandits are a natural and well-studied model for structured exploration/
exploitation problems and are widely used in applications such as on-line marketing and …

We investigate multiarmed bandits with delayed feedback, where the delays need neither be
identical nor bounded. We first prove that" delayed" Exp3 achieves the $ O (\sqrt {(KT+ D)\ln …

Bayesian optimization (BO) is a widely-used sequential method for zeroth-order optimization
of complex and expensive-to-compute black-box functions. The existing BO methods …

In online decision making, feedback delays often arise due to the latency caused by
computation and communication in practical systems. In this article, we study decentralized …

In this paper, we provide a general framework for studying multi-agent online learning
problems in the presence of delays and asynchronicities. Specifically, we propose and …

In this letter, we propose distributed and networked energy management scenarios to
optimize the production and reservation of energy among a set of distributed energy nodes …

This paper is concerned with an online distributed convex-constrained optimization problem
over a multi-agent network, where the limited network bandwidth and potential feedback …

This paper offers a nearly optimal algorithm for online linear optimization with delayed
bandit feedback. Online linear optimization with bandit feedback, or nonstochastic linear …

To accommodate heterogeneous tasks for the Internet of Things (IoT), the emerging mobile
edge paradigm extends computing services from the cloud to the edge, but at the same time …