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: "secure cascade channel synthesis"
  Abstract: We consider the problem of generating correlated random variables in a distributed fashion, where communication is constrained to a cascade network. The first node in the cascade observes an i.i.d. sequence $X^n$ locally before initiating communication along the cascade. All nodes share bits of common randomness that are independent of $X^n$. We consider secure synthesis - random variables produced by the system appear to be appropriately correlated and i.i.d. even to an eavesdropper who is cognizant of the communication transmissions. We characterize the optimal tradeoff between the amount of common randomness used and the required rates of communication. We find that not only does common randomness help, its usage exceeds the communication rate requirements. The most efficient scheme is based on a superposition codebook, with the first node selecting messages for all downstream nodes. We also provide a fleeting view of related problems, demonstrating how the optimal rate region may shrink or expand.

Connected through hyperedge HE-1 (induced by source paper "coordination through shared randomness"):
  with members:
    - "communication for generating correlation a survey"
    - "on the optimality of secret key agreement via omniscience"
    - "polar coding for empirical coordination of signals and actions over noisy channels"
    - "on the public communication needed to achieve sk capacity in the multiterminal source model"
    - "on non interactive simulation of joint distributions"
    - "empirical coordination with two sided state information and correlated source and state"
    - "empirical coordination with channel feedback and strictly causal or causal encoding"
    - "exact common information"

Connected through hyperedge HE-2 (induced by source paper "distributed source simulation with no communication"):
  with members:
    - "decidability of non interactive simulation of joint distributions"
    - "on non interactive simulation of joint distributions"
    - "a stronger soft covering lemma and applications"
    - "zero error coordination"
    - "exact common information"
    - "analysis of boolean functions"
    - "simulation of a channel with another channel"
    - "distributed channel synthesis"

Connected through hyperedge HE-3 (induced by source paper "strong coordination of signals and actions over noisy channels with two sided state information"):
  with members:
    - "persuasion with limited communication capacity"
    - "strong coordination of signals and actions over noisy channels"
    - "information design for strategic coordination of autonomous devices with non aligned utilities"
    - "joint coordination channel coding for strong coordination over noisy channels based on polar codes"
    - "empirical and strong coordination via soft covering with polar codes"
    - "polar coding for empirical coordination of signals and actions over noisy channels"
    - "polar coding for the broadcast channel with confidential messages a random binning analogy"
    - "correlation between channel state and information source with empirical coordination constraint"

Connected through hyperedge HE-4 (induced by source paper "strong coordination of signals and actions over noisy channels"):
  with members:
    - "when is it possible to simulate a dmc channel from another"
    - "distributed channel synthesis"
    - "achievability proof via output statistics of random binning"
    - "hybrid codes needed for coordination over the point to point channel"

Connected through hyperedge HE-5 (induced by source paper "strong coordination over multi hop line networks"):
  with members:
    - "coordination in distributed networks via coded actions with application to power control"
    - "coordination in state dependent distributed networks the two agent case"
    - "correlation between channel state and information source with empirical coordination constraint"
    - "strong coordination over a line network"
    - "empirical coordination in a triangular multiterminal network"
    - "distributed channel synthesis"
    - "channel simulation via interactive communications"
    - "coordination via a relay"

Connected through hyperedge HE-6 (induced by source paper "joint empirical coordination of source and channel"):
  with members:
    - "strong coordination of signals and actions over noisy channels"
    - "information design for strategic coordination of autonomous devices with non aligned utilities"
    - "polar coding for empirical coordination of signals and actions over noisy channels"
    - "coordination in distributed networks via coded actions with application to power control"
    - "strong coordination over multi hop line networks"
    - "zero error coordination"
    - "empirical coordination with two sided state information and correlated source and state"
    - "empirical coordination with channel feedback and strictly causal or causal encoding"

Connected through hyperedge HE-7 (induced by source paper "empirical coordination for joint source channel coding"):
  with members:
    - "coordination in distributed networks via coded actions with application to power control"
    - "strong coordination over multi hop line networks"
    - "zero error coordination"
    - "coordination in state dependent distributed networks the two agent case"
    - "coded power control performance analysis"
    - "correlation between channel state and information source with empirical coordination constraint"
    - "strong coordination over a line network"
    - "empirical processes typical sequences and coordinated actions in standard borel spaces"

Connected through hyperedge HE-8 (induced by source paper "secrecy in cascade networks"):
  with members:
    - "optimal equivocation in secrecy systems a special case of distortion based characterization"
    - "the likelihood encoder for source coding"
    - "distributed channel synthesis"
    - "rate distortion theory for secrecy systems"
    - "secrecy is cheap if the adversary must reconstruct"
    - "multiterminal source coding under logarithmic loss"
    - "multiterminal source coding with an entropy based distortion measure"

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.IT(Information Theory)