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: "stochastic event triggered sensor scheduling for remote state estimation"
  Abstract: We propose an open-loop and a closed-loop stochastic event-triggered sensor schedule for remote state estimation. Both schedules overcome the essential difficulties of existing schedules in recent literature works where, through introducing a deterministic event-triggering mechanism, the Gaussian property of the innovation process is destroyed which produces a challenging nonlinear filtering problem that cannot be solved unless approximation techniques are adopted. The proposed stochastic event-triggered sensor schedules eliminate such approximations. Under these two schedules, the minimum mean squared error (MMSE) estimator and its estimation error covariance matrix at the remote estimator are given in a closed-form. The stability in terms of the expected error covariance and the sample path of the error covariance for both schedules is studied. We also formulate and solve an optimization problem to obtain the minimum communication rate under some estimation quality constraint using the open-loop sensor schedule. A numerical comparison between the closed-loop MMSE estimator and a typical approximate MMSE estimator with deterministic event-triggered sensor schedule, in a problem setting of target tracking, shows the superiority of the proposed sensor schedule.

Connected through hyperedge HE-1 (induced by source paper "event triggered diffusion kalman filters"):
  with members:
    - "distributed kalman filters with state equality constraints time based and event triggered communications"
    - "partial diffusion kalman filtering"
    - "d slats distributed simultaneous localization and time synchronization"
    - "distributed event based state estimation"

Connected through hyperedge HE-2 (induced by source paper "distributed parameter estimation under event triggered communications"):
  with members:
    - "distributed kalman filters with state equality constraints time based and event triggered communications"
    - "convergence rate analysis of distributed gossip linear parameter estimation fundamental limits and tradeoffs"
    - "distributed parameter estimation in sensor networks nonlinear observation models and imperfect communication"

Connected through hyperedge HE-3 (induced by source paper "event triggered learning"):
  with members:
    - "resource aware iot control saving communication through predictive triggering"
    - "event based state estimation an emulation based approach"

Connected through hyperedge HE-4 (induced by source paper "event triggered distributed bayes filter"):
  with members:
    - "distributed event based state estimation for networked systems an lmi approach"
    - "consensus innovations distributed kalman filter with optimized gains"

Connected through hyperedge HE-5 (induced by source paper "optimal scheduling of multiple sensors over lossy and bandwidth limited channels"):
  with members:
    - "opportunistic scheduling as restless bandits"
    - "attack allocation on remote state estimation in multi systems structural results and asymptotic solution"
    - "infinite horizon optimal transmission power control for remote state estimation over fading channels"
    - "optimal dynamic multicast scheduling for cache enabled content centric wireless networks"
    - "sensor scheduling in variance based event triggered estimation with packet drops"
    - "optimal strategies for communication and remote estimation with an energy harvesting sensor"

Connected through hyperedge HE-6 (induced by source paper "distributed kalman filters with state equality constraints time based and event triggered communications"):
  with members:
    - "gossip and distributed kalman filtering weak consensus under weak detectability"

Connected through hyperedge HE-7 (induced by source paper "infinite horizon optimal transmission power control for remote state estimation over fading channels"):
  with members:
    - "multi sensor scheduling for state estimation with event based stochastic triggers"
    - "on the existence of optimal policies for a class of static and sequential dynamic teams"
    - "distortion transmission trade off in real time transmission of markov sources"
    - "design of state based schedulers for a network of control loops"
    - "optimal pruning for multi step sensor scheduling"
    - "discretized approximations for pomdp with average cost"
    - "optimal strategies for communication and remote estimation with an energy harvesting sensor"
    - "paging and registration in cellular networks jointly optimal policies and an iterative algorithm"

Connected through hyperedge HE-8 (induced by source paper "towards a unified resilience analysis state estimation against integrity attacks"):
  with members:
    - "robust state estimation against sparse integrity attacks"
    - "data framing attack on state estimation"

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)