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: "simple gradecast based algorithms"
  Abstract: Gradecast is a simple three-round algorithm presented by Feldman and Micali. The current work presents a very simple synchronous algorithm that utilized Gradecast to achieve Byzantine agreement. Two small variations of the presented algorithm lead to improved algorithms for solving the Approximate agreement problem and the Multi-consensus problem. An optimal approximate agreement algorithm was presented by Fekete, which supports up to 1 n Byzantine nodes and has message complexity of O(n k ), where n is the number of nodes and k is the number of rounds. Our solution to the approximate agreement problem is optimal,

Connected through hyperedge HE-1 (induced by source paper "synchronous byzantine lattice agreement in o log f rounds"):
  with members:
    - "byzantine approximate agreement on graphs"
    - "byzantine lattice agreement in synchronous systems"
    - "byzantine generalized lattice agreement"
    - "linearizable state machine replication of state based crdts without logs"
    - "lattice agreement in message passing systems"
    - "line recovery by programmable particles"
    - "population protocols with faulty interactions the impact of a leader"

Connected through hyperedge HE-2 (induced by source paper "byzantine lattice agreement in synchronous systems"):
  with members:
    - "synchronous byzantine lattice agreement in o log f rounds"
    - "byzantine approximate agreement on graphs"
    - "byzantine generalized lattice agreement"
    - "linearizable state machine replication of state based crdts without logs"
    - "lattice agreement in message passing systems"
    - "linearizable replicated state machines with lattice agreement"

Connected through hyperedge HE-3 (induced by source paper "reaching approximate byzantine consensus with multi hop communication"):
  with members:
    - "iterative approximate consensus in the presence of byzantine link failures"
    - "iterative byzantine vector consensus in incomplete graphs"
    - "consensus of multi agent networks in the presence of adversaries using only local information"
    - "matrix representation of iterative approximate byzantine consensus in directed graphs"
    - "iterative approximate byzantine consensus in arbitrary directed graphs"
    - "distributed algorithms for consensus and coordination in the presence of packet dropping communication links part ii coefficients of ergodicity analysis approach"
    - "robustness of information diffusion algorithms to locally bounded adversaries"

Connected through hyperedge HE-4 (induced by source paper "byzantine vector consensus in complete graphs"):
  with members:
    - "approximating tverberg points in linear time for any fixed dimension"
    - "iterative approximate byzantine consensus in arbitrary directed graphs"

Connected through hyperedge HE-5 (induced by source paper "iterative approximate byzantine consensus in arbitrary directed graphs"):
  with members:
    - "consensus of multi agent networks in the presence of adversaries using only local information"
    - "iterative approximate byzantine consensus in arbitrary directed graphs part ii synchronous and asynchronous systems"
    - "matrix representation of iterative approximate byzantine consensus in directed graphs"
    - "robustness of information diffusion algorithms to locally bounded adversaries"

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)