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: "duality of a source coding problem and the semi deterministic broadcast channel with rate limited cooperation"
  Abstract: The Wyner–Ahlswede–Korner (WAK) empirical-coordination problem where the encoders cooperate via a finite-capacity one-sided link is considered. The coordination-capacity region is derived by combining several source coding techniques, such as Wyner–Ziv coding, binning, and superposition coding. Furthermore, a semi-deterministic (SD) broadcast channel (BC) with one-sided decoder cooperation is considered. Duality principles relating the two problems are presented, and the capacity region for the SD-BC setting is derived. The direct part follows from an achievable region for a general BC that is tight for the SD scenario. A converse is established by using telescoping identities. The SD-BC is shown to be operationally equivalent to a class of relay-BCs, and the correspondence between their capacity regions is established. The capacity region of the SD-BC is transformed into an equivalent region that is shown to be dual to the admissible region of the WAK problem in the sense that the information measures defining the corner points of both regions coincide. Achievability and converse proofs for the equivalent region are provided. For the converse, we use a probabilistic construction of auxiliary random variables that depends on the distribution induced by the codebook. Several examples illustrate the results.

Connected through hyperedge HE-1 (induced by source paper "wiretap and gelfand pinsker channels analogy and its applications"):
  with members:
    - "the likelihood encoder for lossy compression"
    - "wiretap channels with random states non causally available at the encoder"
    - "capacity of the state dependent wiretap channel secure writing on dirty paper"
    - "analogy between gambling and measurement based work extraction"
    - "semantic security capacity for wiretap channels of type ii"
    - "secrecy capacity region of some classes of wiretap broadcast channels"
    - "on state dependent broadcast channels with cooperation"
    - "converses for secret key agreement and secure computing"

Connected through hyperedge HE-2 (induced by source paper "strong secrecy for cooperative broadcast channels"):
  with members:
    - "broadcast channels with privacy leakage constraints"
    - "fourier motzkin elimination software for information theoretic inequalities"
    - "the likelihood encoder for lossy compression"
    - "semantic security capacity for wiretap channels of type ii"
    - "secrecy capacity region of some classes of wiretap broadcast channels"
    - "on state dependent broadcast channels with cooperation"
    - "the henchman problem measuring secrecy by the minimum distortion in a list"
    - "secure coordination with a two sided helper"

Connected through hyperedge HE-3 (induced by source paper "feedback and partial message side information on the semideterministic broadcast channel"):
  with members:
    - "a unified scheme for two receiver broadcast channels with receiver message side information"
    - "coding schemes with rate limited feedback that improve over the nofeedback capacity for a large class of broadcast channels"
    - "semi deterministic broadcast channels with cooperation and a dual source coding problem"
    - "an achievable rate region for the broadcast channel with feedback"
    - "on the capacity of the discrete memoryless broadcast channel with feedback"
    - "rate regions for relay broadcast channels"

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)