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 "communication cost of consensus for nodes with limited memory"):
  Abstract: Motivated by applications in blockchains and sensor networks, we consider a model of $n$ nodes trying to reach consensus on their majority bit. Each node $i$ is assigned a bit at time zero, and is a finite automaton with $m$ bits of memory (i.e., $2^m$ states) and a Poisson clock. When the clock of $i$ rings, $i$ can choose to communicate, and is then matched to a uniformly chosen node $j$. The nodes $j$ and $i$ may update their states based on the state of the other node. Previous work has focused on minimizing the time to consensus and the probability of error, while our goal is minimizing the number of communications. We show that when $m>3 \log\log\log(n)$, consensus can be reached at linear communication cost, but this is impossible if $m<\log\log\log(n)$. We also study a synchronous variant of the model, where our upper and lower bounds on $m$ for achieving linear communication cost are $2\log\log\log(n)$ and $\log\log\log(n)$, respectively. A key step is to distinguish when nodes can become aware of knowing the majority bit and stop communicating. We show that this is impossible if their memory is too low.

Includes members:
  Member "global majority consensus by local majority polling on graphs of a given degree sequence":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "barracuda the power of ell polling in proof of stake blockchains")
  Member "population protocols are fast":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "efficient size estimation and impossibility of termination in uniform dense population protocols")
  Member "population protocols for leader election and exact majority with o log 2 n states and o log 2 n convergence time":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "space optimal majority in population protocols")
  Member "space optimal majority in population protocols":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "robust comparison in population protocols")
  Member "time space trade offs in population protocols":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "robust comparison in population protocols")
  Member "discordant voting processes on finite graphs":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "phase transition of the 2 choices dynamics on core periphery networks")
  Member "stable leader election in population protocols requires linear time":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "constructive expressive power of population protocols")
  Member "plurality consensus in the gossip model":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "distributed voting in beep model")

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)