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: "distributed computability in byzantine asynchronous systems"
  Abstract: In this work, we extend the topology-based approach for characterizing computability in asynchronous crash-failure distributed systems to asynchronous Byzantine systems. We give the first theorem with necessary and sufficient conditions to solve arbitrary tasks in asynchronous Byzantine systems where an adversary chooses faulty processes. In our adversarial formulation, outputs of non-faulty processes are constrained in terms of inputs of non-faulty processes only. For colorless tasks, an important subclass of distributed problems, the general result reduces to an elegant model that effectively captures the relation between the number of processes, the number of failures, as well as the topological structure of the task's simplicial complexes.

Connected through hyperedge HE-1 (induced by source paper "a topological perspective on distributed network algorithms"):
  with members:
    - "topological characterization of consensus under general message adversaries"
    - "lower bounds for maximal matchings and maximal independent sets"
    - "why extension based proofs fail"
    - "tight bounds for asymptotic and approximate consensus"
    - "locally iterative distributed delta 1 coloring below szegedy vishwanathan barrier and applications to self stabilization and to restricted bandwidth models"
    - "deterministic distributed edge coloring via hypergraph maximal matching"
    - "on the complexity of local distributed graph problems"
    - "gracefully degrading consensus and k set agreement in directed dynamic networks"

Connected through hyperedge HE-2 (induced by source paper "byzantine processors and cuckoo birds confining maliciousness to the outset"):
  with members:
    - "some garbage in some garbage out asynchronous t byzantine as asynchronous benign t resilient system with fixed t trojan horse inputs"
    - "byzantine vector consensus in complete graphs"
    - "wait freedom with advice"

Connected through hyperedge HE-3 (induced by source paper "some garbage in some garbage out asynchronous t byzantine as asynchronous benign t resilient system with fixed t trojan horse inputs"):
  with members:
    - "asynchronous convex consensus in the presence of crash faults"

Connected through hyperedge HE-4 (induced by source paper "tight bounds for connectivity and set agreement in byzantine synchronous systems"):
  with members:
    - "a generalized asynchronous computability theorem"

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)