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: "randomized optimal consensus of multi agent systems"
  Abstract: In this paper, we formulate and solve a randomized optimal consensus problem for multi-agent systems with stochastically time-varying interconnection topology. The considered multi-agent system with a simple randomized iterating rule achieves an almost sure consensus meanwhile solving the optimization problem $\min_{z\in \mathds{R}^d}\ \sum_{i=1}^n f_i(z),$ in which the optimal solution set of objective function $f_i$ can only be observed by agent $i$ itself. At each time step, simply determined by a Bernoulli trial, each agent independently and randomly chooses either taking an average among its neighbor set, or projecting onto the optimal solution set of its own optimization component. Both directed and bidirectional communication graphs are studied. Connectivity conditions are proposed to guarantee an optimal consensus almost surely with proper convexity and intersection assumptions. The convergence analysis is carried out using convex analysis. We compare the randomized algorithm with the deterministic one via a numerical example. The results illustrate that a group of autonomous agents can reach an optimal opinion by each node simply making a randomized trade-off between following its neighbors or sticking to its own opinion at each time step.

Connected through hyperedge HE-1 (induced by source paper "network flows that solve linear equations"):
  with members:
    - "decentralized gradient algorithm for solution of a linear equation"
    - "a distributed algorithm for solving a linear algebraic equation"
    - "a fast distributed solver for symmetric diagonally dominant linear equations"
    - "solving systems of linear equations locally and asynchronously"
    - "distributed strongly convex optimization"
    - "fast distributed gradient methods"
    - "cooperative convex optimization in networked systems augmented lagrangian algorithms with directed gossip communication"
    - "reaching an optimal consensus dynamical systems that compute intersections of convex sets"

Connected through hyperedge HE-2 (induced by source paper "distributed continuous time approximate projection protocols for shortest distance optimization problems"):
  with members:
    - "cooperative convex optimization in networked systems augmented lagrangian algorithms with directed gossip communication"
    - "multi agent robust consensus convergence analysis and application"
    - "reaching an optimal consensus dynamical systems that compute intersections of convex sets"
    - "zero gradient sum algorithms for distributed convex optimization the continuous time case"

Connected through hyperedge HE-3 (induced by source paper "privacy preservation in distributed subgradient optimization algorithms"):
  with members:
    - "nash equilibrium computation in subnetwork zero sum games with switching communications"
    - "distributed autonomous online learning regrets and intrinsic privacy preserving properties"

Connected through hyperedge HE-4 (induced by source paper "distributed min max optimization application to time optimal consensus an alternating projection approach"):
  with members:
    - "reaching an optimal consensus dynamical systems that compute intersections of convex sets"

Connected through hyperedge HE-5 (induced by source paper "randomized consensus with attractive and repulsive links"):
  with members:
    - "randomized gossip algorithm with unreliable communication"
    - "how agreement and disagreement evolve over random dynamic networks"
    - "the role of persistent graphs in the agreement seeking of social networks"
    - "sensor networks with random links topology design for distributed consensus"

Connected through hyperedge HE-6 (induced by source paper "nash equilibrium computation in subnetwork zero sum games with switching communications"):
  with members:
    - "reaching an optimal consensus dynamical systems that compute intersections of convex sets"

Connected through hyperedge HE-7 (induced by source paper "nash equilibrium seeking in subnetwork zero sum games with switching communication graphs"):
  with members:
    - "reaching an optimal consensus dynamical systems that compute intersections of convex sets"

Connected through hyperedge HE-8 (induced by source paper "distributed optimization convergence conditions from a dynamical system perspective"):
  with members:
    - "cooperative convex optimization in networked systems augmented lagrangian algorithms with directed gossip communication"
    - "connectivity and set tracking of multi agent systems guided by multiple moving leaders"
    - "reaching an optimal consensus dynamical systems that compute intersections of convex sets"
    - "zero gradient sum algorithms for distributed convex optimization the continuous time case"

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.MA(Multiagent Systems)