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cs.LG2025
Remote Rowhammer Attack using Adversarial Observations on Federated Learning Clients
Jinsheng Yuan, Yuhang Hao, Weisi Guo +2
Federated Learning (FL) has the potential for simultaneous global learning amongst a large number of parallel agents, enabling emerging AI systems to be trained across demographica…
cs.LG2024
Modelling Networked Dynamical System by Temporal Graph Neural ODE with Irregularly Partial Observed Time-series Data
Mengbang Zou, Weisi Guo
Modeling the evolution of system with time-series data is a challenging and critical task in a wide range of fields, especially when the time-series data is regularly sampled and p…
cs.LG2024
Minimize Control Inputs for Strong Structural Controllability Using Reinforcement Learning with Graph Neural Network
Mengbang Zou, Weisi Guo, Bailu Jin
Strong structural controllability (SSC) guarantees networked system with linear-invariant dynamics controllable for all numerical realizations of parameters. Current research has e…