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: "decomposition by partial linearization parallel optimization of multi agent systems"
  Abstract: We propose a novel decomposition framework for the distributed optimization of general nonconvex sum-utility functions arising naturally in the system design of wireless multi-user interfering systems. Our main contributions are i) the development of the first class of (inexact) Jacobi best-response algorithms with provable convergence, where all the users simultaneously and iteratively solve a suitably convexified version of the original sum-utility optimization problem; ii) the derivation of a general dynamic pricing mechanism that provides a unified view of existing pricing schemes that are based, instead, on heuristics; and iii) a framework that can be easily particularized to well-known applications, giving rise to very efficient practical (Jacobi or Gauss-Seidel) algorithms that outperform existing ad hoc methods proposed for very specific problems. Interestingly, our framework contains as special cases well-known gradient algorithms for nonconvex sum-utility problems, and many block-coordinate descent schemes for convex functions.

Connected through hyperedge HE-1 (induced by source paper "convergent policy optimization for safe reinforcement learning"):
  with members:
    - "neural proximal trust region policy optimization attains globally optimal policy"
    - "provably efficient q learning with low switching cost"
    - "on the global convergence of actor critic a case for linear quadratic regulator with ergodic cost"
    - "neural temporal difference learning converges to global optima"
    - "neural policy gradient methods global optimality and rates of convergence"
    - "stochastic successive convex approximation for non convex constrained stochastic optimization"
    - "learning safe policies with expert guidance"
    - "communication efficient distributed reinforcement learning"

Connected through hyperedge HE-2 (induced by source paper "robust matrix completion via maximum correntropy criterion and half quadratic optimization"):
  with members:
    - "guaranteed matrix completion via non convex factorization"
    - "understanding alternating minimization for matrix completion"
    - "matrix completion from a few entries"
    - "matrix completion with noise"
    - "iterative hard thresholding for compressed sensing"
    - "exact matrix completion via convex optimization"

Connected through hyperedge HE-3 (induced by source paper "stochastic successive convex approximation for non convex constrained stochastic optimization"):
  with members:
    - "a parallel decomposition method for nonconvex stochastic multi agent optimization problems"
    - "incremental gradient subgradient and proximal methods for convex optimization a survey"
    - "saga a fast incremental gradient method with support for non strongly convex composite objectives"
    - "online stochastic optimization with multiple objectives"
    - "probabilistic sinr constrained robust transmit beamforming a bernstein type inequality based conservative approach"

Connected through hyperedge HE-4 (induced by source paper "successive convex approximation algorithms for sparse signal estimation with nonconvex regularizations"):
  with members:
    - "a parallel best response algorithm with exact line search for nonconvex sparsity regularized rank minimization"
    - "multidimensional sparse recovery for mimo channel parameter estimation"
    - "a general iterative shrinkage and thresholding algorithm for non convex regularized optimization problems"
    - "dynamic anomalography tracking network anomalies via sparsity and low rank"
    - "sparse subspace clustering algorithm theory and applications"

Connected through hyperedge HE-5 (induced by source paper "applications of economic and pricing models for resource management in 5g wireless networks a survey"):
  with members:
    - "an auction approach to spectrum management in hetnets"
    - "user association in massive mimo hetnets"
    - "applications of economic and pricing models for wireless network security a survey"
    - "caching incentive design in wireless d2d networks a stackelberg game approach"
    - "breaking the economic barrier of caching in cellular networks incentives and contracts"
    - "distributed optimization of hierarchical small cell networks a gnep framework"
    - "spectrum and infrastructure sharing in millimeter wave cellular networks an economic perspective"
    - "caching as a service small cell caching mechanism design for service providers"

Connected through hyperedge HE-6 (induced by source paper "applications of economic and pricing models for wireless network security a survey"):
  with members:
    - "charging and discharging of plug in electric vehicles pevs in vehicle to grid v2g systems a cyber insurance based model"
    - "data collection and wireless communication in internet of things iot using economic analysis and pricing models a survey"
    - "improving physical layer security in wireless communications using diversity techniques"
    - "a multitier wireless spectrum sharing system leveraging secure spectrum auctions"
    - "principles of physical layer security in multiuser wireless networks a survey"
    - "incentives for privacy tradeoff in community sensing"
    - "ps trust provably secure solution for truthful double spectrum auctions"
    - "truthful mechanisms for secure communication in wireless cooperative system"

Connected through hyperedge HE-7 (induced by source paper "resource management in cloud networking using economic analysis and pricing models a survey"):
  with members:
    - "network function virtualization state of the art and research challenges"
    - "fronthaul constrained cloud radio access networks insights and challenges"
    - "distributed cloud association in downlink multicloud radio access networks"
    - "from participatory sensing to mobile crowd sensing"
    - "an auction mechanism for resource allocation in mobile cloud computing systems"
    - "behavior based online incentive mechanism for crowd sensing with budget constraints"
    - "internet resource pricing models mechanisms and methods"
    - "budget feasible mechanisms"

Connected through hyperedge HE-8 (induced by source paper "joint transmission with limited backhaul connectivity"):
  with members:
    - "distributed bi directional training of nonlinear precoders and receivers in cellular networks"
    - "backhaul limited asymmetric cooperation for mimo cellular networks via semidefinite relaxation"
    - "base station activation and linear transceiver design for optimal resource management in heterogeneous networks"
    - "joint precoding and multivariate backhaul compression for the downlink of cloud radio access networks"
    - "distributed robust multicell coordinated beamforming with imperfect csi an admm approach"
    - "adaptive spatial intercell interference cancellation in multicell wireless networks"
    - "pilot contamination and precoding in multi cell tdd systems"

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)