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: "computation over mismatched channels"
  Abstract: We consider the problem of distributed computation of a target function over a multiple-access channel. If the target and channel functions are matched (i.e., compute the same function), significant performance gains can be obtained by jointly designing the computation and communication tasks. However, in most situations there is mismatch between these two functions. In this work, we analyze the impact of this mismatch on the performance gains achievable with joint computation and communication designs over separation-based designs. We show that for most pairs of target and channel functions there is no such gain, and separation of computation and communication is optimal.

Connected through hyperedge HE-1 (induced by source paper "homologous codes for multiple access channels"):
  with members:
    - "on general lattice quantization noise"
    - "towards an algebraic network information theory simultaneous joint typicality decoding"
    - "communication versus computation duality for multiple access channels and source coding"
    - "an achievable rate region for the three user interference channel based on coset codes"
    - "expanding the compute and forward framework unequal powers signal levels and multiple linear combinations"
    - "a joint typicality approach to algebraic network information theory"
    - "optimal achievable rates for interference networks with random codes"
    - "computing sum of sources over an arbitrary multiple access channel"

Connected through hyperedge HE-2 (induced by source paper "on secure computation over the binary modulo 2 adder multiple access wiretap channel"):
  with members:
    - "nomographic functions efficient computation in clustered gaussian sensor networks"
    - "two shannon type problems on secure multi party computations"
    - "how to securely compute the modulo two sum of binary sources"
    - "distributed function computation with confidentiality"
    - "robust analog function computation via wireless multiple access channels"
    - "when is a function securely computable"
    - "the gaussian multiple access wire tap channel"

Connected through hyperedge HE-3 (induced by source paper "nomographic functions efficient computation in clustered gaussian sensor networks"):
  with members:
    - "interactive computation of type threshold functions in collocated broadcast superposition networks"
    - "cooperative compute and forward"
    - "robust analog function computation via wireless multiple access channels"
    - "distributed detection over gaussian multiple access channels with constant modulus signaling"
    - "compute and forward harnessing interference through structured codes"
    - "on the role of mmse estimation in approaching the information theoretic limits of linear gaussian channels shannon meets wiener"

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)