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 "compressing communication in distributed protocols"):
  Abstract: We show how to compress communication in distributed protocols in which parties do not have private inputs. More specifically, we present a generic method for converting any protocol in which parties do not have private inputs, into another protocol where each message is {\em "short"} while preserving the same number of rounds, the same communication pattern, the same output distribution, and the same resilience to error. Assuming that the output lies in some universe of size $M$, in our resulting protocol each message consists of only $\mathsf{poly}{\log}(M,n,d)$ many bits, where $n$ is the number of parties and $d$ is the number of rounds. Our transformation works in the full information model, in the presence of either static or adaptive Byzantine faults. #R##N#In particular, our result implies that for any such $\mathsf{poly}(n)$-round distributed protocol which generates outputs in a universe of size $\mathsf{poly}(n)$, long messages are not needed, and messages of length $\mathsf{poly}{\log}(n)$ suffice. In other words, in this regime, any distributed task that can be solved in the $\mathcal{LOCAL}$ model, can also be solved in the $\mathcal{CONGEST}$ model with the \emph{same} round complexity and security guarantees. #R##N#As a corollary, we conclude that for any $\mathsf{poly}(n)$-round collective coin-flipping protocol, leader election protocol, or selection protocols, messages of length $\mathsf{poly}{\log}(n)$ suffice (in the presence of either static or adaptive Byzantine faults).

Includes members:
  Member "adaptively secure coin flipping revisited":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "computational concentration of measure optimal bounds reductions and more")
  Member "fast distributed pagerank computation":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "walking randomly massively and efficiently")

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)