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: "reaching approximate byzantine consensus with multi hop communication"
  Abstract: We address the problem of reaching consensus in the presence of Byzantine faults. In particular, we are interested in investigating the impact of messages relay on the network connectivity for a correct iterative approximate Byzantine consensus algorithm to exist. The network is modeled by a simple directed graph. We assume a node can send messages to another node that is up to $l$ hops away via forwarding by the intermediate nodes on the routes, where $l\in \mathbb{N}$ is a natural number. We characterize the necessary and sufficient topological conditions on the network structure. The tight conditions we found are consistent with the tight conditions identified for $l=1$, where only local communication is allowed, and are strictly weaker for $l>1$. Let $l^*$ denote the length of a longest path in the given network. For $l\ge l^*$ and undirected graphs, our conditions hold if and only if $n\ge 3f+1$ and the node-connectivity of the given graph is at least $2f+1$ , where $n$ is the total number of nodes and $f$ is the maximal number of Byzantine nodes; and for $l\ge l^*$ and directed graphs, our conditions is equivalent to the tight condition found for exact Byzantine consensus. #R##N#Our sufficiency is shown by constructing a correct algorithm, wherein the trim function is constructed based on investigating a newly introduced minimal messages cover property. The trim function proposed also works over multi-graphs.

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 "resilient consensus for multi agent systems subject to differential privacy requirements"):
  with members:
    - "resilient consensus of second order agent networks asynchronous update rules with delays"
    - "resilient randomized quantized consensus"
    - "r robustness and r s robustness of circulant graphs"
    - "exploiting nodes symmetries to control synchronization and consensus patterns in multiagent systems"
    - "a jamming resilient algorithm for self triggered network coordination"
    - "differentially private distributed optimization"
    - "differentially private iterative synchronous consensus"
    - "calibrating data to sensitivity in private data analysis"

Connected through hyperedge HE-3 (induced by source paper "determining r robustness of arbitrary digraphs using zero one linear integer programming"):
  with members:
    - "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"
    - "distributed optimization under adversarial nodes"
    - "robustness and algebraic connectivity of random interdependent networks"
    - "byzantine vector consensus in complete graphs"
    - "resilient continuous time consensus in fractional robust networks"
    - "iterative approximate byzantine consensus under a generalized fault model"

Connected through hyperedge HE-4 (induced by source paper "effects of topology knowledge and relay depth on asynchronous consensus"):
  with members:
    - "gracefully degrading consensus and k set agreement in directed dynamic networks"
    - "reliable communication in a dynamic network in the presence of byzantine faults"
    - "approximate consensus in highly dynamic networks the role of averaging algorithms"
    - "consensus of multi agent networks in the presence of adversaries using only local information"
    - "iterative approximate byzantine consensus under a generalized fault model"
    - "iterative approximate byzantine consensus in arbitrary directed graphs"
    - "robustness of complex networks with implications for consensus and contagion"
    - "easy impossibility proofs for k set agreement in message passing systems"

Connected through hyperedge HE-5 (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"
    - "asynchronous convex consensus in the presence of crash faults"
    - "byzantine vector consensus in complete graphs"
    - "iterative byzantine vector consensus in incomplete graphs"
    - "paxoslease diskless paxos for leases"

Connected through hyperedge HE-6 (induced by source paper "defending non bayesian learning against adversarial attacks"):
  with members:
    - "learning without recall a case for log linear learning"
    - "finite time analysis of the distributed detection problem"
    - "byzantine vector consensus in complete graphs"
    - "iterative byzantine vector consensus in incomplete graphs"
    - "exponentially fast parameter estimation in networks using distributed dual averaging"
    - "distributed detection over noisy networks large deviations analysis"
    - "consensus of multi agent networks in the presence of adversaries using only local information"
    - "large deviations performance of consensus innovations distributed detection with non gaussian observations"

Connected through hyperedge HE-7 (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"
    - "asynchronous convex consensus in the presence of crash faults"
    - "iterative approximate byzantine consensus under a generalized fault model"
    - "iterative approximate byzantine consensus in arbitrary directed graphs"

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)