human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "byzantine fault tolerant vector consensus with anonymous proposals"):
  Abstract: In this paper, we introduce the anonymous proposer vector consensus problem in which a set of processes decide on a vector of values, where each value is a proposal made anonymously by a single process. In a distributed survey, for example, a solution to anonymous proposer vector consensus allows non-faulty processes to put forward a potentially controversial opinion that is not tied to their identity. More specifically, a non-faulty process' proposal is indistinguishable from that of all non-faulty processes, even in the presence of timing attacks. We also define the anonymous all-to-all reliable broadcast problem which ensures the properties of reliable broadcast hold with the same anonymity guarantee. For each problem, we present a protocol that solves it in presence of Byzantine faults. Solving anonymous all-to-all reliable broadcast, Anonymous All-to-all Reliable Broadcast Protocol (AARBP) executes in two regular and one anonymous message delays with the same message complexity as n invocations of Bracha's reliable broadcast protocol. Solving anonymous proposer vector consensus, Anonymous Proposer Vector Consensus Protocol (AVCP) is a reduction to binary consensus which can terminate in three regular and one anonymous message delay.

Includes members:
  Member "dbft efficient byzantine consensus with a weak coordinator and its application to consortium blockchains":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "dissecting tendermint")
  Member "interactive consistency in practical mostly asynchronous systems":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "distributed end to end verifiable and privacy preserving internet voting systems")
  Member "anonymity and information hiding in multiagent systems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "towards logical specification of statistical machine learning")

Question: Please tell me which class the source paper 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)