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: "asynchronous convex consensus in the presence of crash faults"
  Abstract: This paper defines a new consensus problem, convex consensus. Similar to vector consensus [13, 20, 19], the input at each process is a d-dimensional vector of reals (or, equivalently, a point in the d-dimensional Euclidean space). However, for convex consensus, the output at each process is a convex polytope contained within the convex hull of the inputs at the fault-free processes. We explore the convex consensus problem under crash faults with incorrect inputs, and present an asynchronous approximate convex consensus algorithm with optimal fault tolerance that reaches consensus on an optimal output polytope. Convex consensus can be used to solve other related problems. For instance, a solution for convex consensus trivially yields a solution for vector consensus. More importantly, convex consensus can potentially be used to solve other more interesting problems, such as convex function optimization [5, 4].

Connected through hyperedge HE-1 (induced by source paper "determining r and r s robustness of digraphs using mixed integer linear programming"):
  with members:
    - "determining r robustness of arbitrary digraphs using zero one linear integer programming"
    - "secure distributed state estimation of an lti system over time varying networks and analog erasure channels"
    - "resilient consensus of second order agent networks asynchronous update rules with delays"
    - "on connectivity and robustness in random intersection graphs"
    - "resilient randomized quantized consensus"
    - "r robustness and r s robustness of circulant graphs"
    - "distributed optimization under adversarial nodes"
    - "robustness and algebraic connectivity of random interdependent networks"

Connected through hyperedge HE-2 (induced by source paper "recent results on fault tolerant consensus in message passing networks"):
  with members:
    - "xft practical fault tolerance beyond crashes"
    - "gracefully degrading consensus and k set agreement in directed dynamic networks"
    - "approximate consensus in highly dynamic networks the role of averaging algorithms"
    - "iterative approximate consensus in the presence of byzantine link failures"
    - "reaching approximate byzantine consensus with multi hop communication"
    - "byzantine vector consensus in complete graphs"
    - "iterative byzantine vector consensus in incomplete graphs"
    - "paxoslease diskless paxos for leases"

Connected through hyperedge HE-3 (induced by source paper "approximate agreement under mobile byzantine faults"):
  with members:
    - "approximate consensus in highly dynamic networks the role of averaging algorithms"
    - "iterative approximate consensus in the presence of byzantine link failures"
    - "reaching approximate byzantine consensus with multi hop communication"
    - "iterative approximate byzantine consensus under a generalized fault model"
    - "iterative approximate byzantine consensus in arbitrary directed graphs"

Connected through hyperedge HE-4 (induced by source paper "relaxed byzantine vector consensus"):
  with members:
    - "byzantine vector consensus in complete graphs"
    - "iterative byzantine vector consensus in incomplete graphs"
    - "byzantine convex consensus an optimal algorithm"

Connected through hyperedge HE-5 (induced by source paper "some garbage in some garbage out asynchronous t byzantine as asynchronous benign t resilient system with fixed t trojan horse inputs"):
  with members:
    - "distributed computability in byzantine asynchronous systems"

Connected through hyperedge HE-6 (induced by source paper "crash tolerant consensus in directed graphs"):
  with members:
    - "exact byzantine consensus in directed graphs"
    - "fault tolerant consensus in unknown and anonymous networks"

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)