human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "robust multi agent optimization coping with packet dropping link failures"
  Abstract: We study the problem of multi-agent optimization in the presence of communication failures, where agents are connected by a strongly connected communication network. Specifically, we are interested in optimizing $h(x)=\frac{1}{n}\sum_{i=1}^n h_i(x)$, where $\mathcal{V}=\{1, \ldots, n\}$ is the set of agents, and $h_i(\cdot)$ is agent $i$'s local cost function. We consider the scenario where the communication links may suffer packet-dropping failures (i.e., the sent messages are not guaranteed to be delivered in the same iteration), but each link is reliable at least once in every $B$ consecutive message transmissions. This bounded time reliability assumption is reasonable since it has been shown that with unbounded message delays, convergence is not guaranteed for reaching consensus -- a special case of the optimization problem of interest. We propose a robust distributed optimization algorithm wherein each agent updates its local estimate using slightly different routines in odd and even iterations. We show that these local estimates converge to a common optimum of $h(\cdot)$ sub-linearly at convergence rate $O(\frac{1}{\sqrt{t}})$, where $t$ is the number of iteration. Our proposed algorithm combines the Push-Sum Distributed Dual Averaging method with a robust average consensus algorithm. The main analysis challenges come from the fact that the effective communication network is time varying, and that each agent does not know the actual number of reliable outgoing links at each iteration.

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.DC(Distributed, Parallel, and Cluster Computing)