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 "empirical coordination with multiple descriptions"):
  Abstract: We extend the framework of empirical coordination to a distributed setup where for a given action by nature, multiple descriptions of the action of the decoder are available. We adopt the coding strategy applied by El Gamal and Cover in \cite{gamal:1982} to get a lower bound of the coordination region. Then, we improve this region by applying the coding scheme applied by Zhang and Berger in \cite{zhang:1987}.

Includes members:
  Member "empirical coordination subject to a fidelity criterion":
    also connected through other hyperedges:
      (none)
  Member "information design for strategic coordination of autonomous devices with non aligned utilities":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "strategic communication with side information at the decoder")
  Member "sequential empirical coordination under an output entropy constraint":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a lower bound on the expected distortion of joint source channel coding")
  Member "combinatorial message sharing and a new achievable region for multiple descriptions":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "multiple description convolutional neural networks for image compression")
  Member "empirical coordination in a triangular multiterminal network":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "empirical coordination subject to a fidelity criterion")

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.IT(Information Theory)