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: "finite time convergent gossiping"
  Abstract: Gossip algorithms are widely used in modern distributed systems, with applications ranging from sensor networks and peer-to-peer networks to mobile vehicle networks and social networks. A tremendous research effort has been devoted to analyzing and improving the asymptotic rate of convergence for gossip algorithms. In this work we study finite-time convergence of deterministic gossiping. We show that there exists a symmetric gossip algorithm that converges in finite time if and only if the number of network nodes is a power of two, while there always exists an asymmetric gossip algorithm with finite-time convergence, independent of the number of nodes. For    $n=2^m$   nodes, we prove that a fastest convergence can be reached in    $nm=n\log_2 n$   node updates via symmetric gossiping. On the other hand, under asymmetric gossip among   $n=2^m+r$   nodes with   $0\leq r   , it takes at least   $mn+2r$   node updates for achieving finite-time convergence. It is also shown that the existence of finite-time convergent gossiping often imposes strong structural requirements on the underlying interaction graph. Finally, we apply our results to gossip algorithms in quantum networks, where the goal is to control the state of a quantum system via pairwise interactions. We show that finite-time convergence is never possible for such systems.

Connected through hyperedge HE-1 (induced by source paper "privacy preserving gossip algorithms"):
  with members:
    - "a new perspective on randomized gossip algorithms"
    - "consensus over random graph processes network borel cantelli lemmas for almost sure convergence"
    - "a distributed algorithm for solving a linear algebraic equation"
    - "distributed sensor localization in random environments using minimal number of anchor nodes"

Connected through hyperedge HE-2 (induced by source paper "self triggered network coordination over noisy communication channels"):
  with members:
    - "a jamming resilient algorithm for self triggered network coordination"

Connected through hyperedge HE-3 (induced by source paper "optimizing the gossip algorithm with non uniform clock distribution over classical quantum networks"):
  with members:
    - "optimizing the convergence rate of the continuous time quantum consensus"
    - "optimizing the convergence rate of the quantum consensus a discrete time model"
    - "gossip and distributed kalman filtering weak consensus under weak detectability"
    - "convergence rate analysis of distributed gossip linear parameter estimation fundamental limits and tradeoffs"
    - "gossip algorithms for distributed signal processing"
    - "the impact of mobility on gossip algorithms"
    - "geographic gossip efficient averaging for sensor networks"
    - "topology for distributed inference on graphs"

Connected through hyperedge HE-4 (induced by source paper "consensus over random graph processes network borel cantelli lemmas for almost sure convergence"):
  with members:
    - "distributed averaging via lifted markov chains"
    - "distributed sensor localization in random environments using minimal number of anchor nodes"
    - "distributed consensus algorithms in sensor networks quantized data and random link failures"
    - "fast distributed algorithms for computing separable functions"

Connected through hyperedge HE-5 (induced by source paper "finite time consensus using stochastic matrices with positive diagonals"):
  with members:
    - "finite time and asymptotic convergence of distributed averaging and maximizing algorithms"

Connected through hyperedge HE-6 (induced by source paper "finite time and asymptotic convergence of distributed averaging and maximizing algorithms"):
  with members:
    - "connectivity and set tracking of multi agent systems guided by multiple moving leaders"

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)