Parameters security strategy formulated by hyperchaos in federal learning.

Breaking data barriers in medical diagnosis with MSDGD framework based on Gaussian Diffusion Generation.

D2CFR: Minimize Counterfactual Regret With Deep Dueling Neural Network.

Breaking the traditional: a survey of algorithmic mechanism design applied to economic and complex environments.

Kdb-D2CFR: Solving Multiplayer imperfect-information games with knowledge distillation-based DeepCFR.

RLCFR: Minimize counterfactual regret by deep reinforcement learning.

Scalable sub-game solving for imperfect-information games.

ARank: Toward specific model pruning via advantage rank for multiple salient objects detection.

WRGPruner: A new model pruning solution for tiny salient object detection.

NNCFR: Minimize Counterfactual Regret with Neural Networks.

AIBPO: Combine the Intrinsic Reward and Auxiliary Task for 3D Strategy Game.

Bi-Connect Net for salient object detection.

RLCFR: Minimize Counterfactual Regret by Deep Reinforcement Learning.

Solving imperfect-information games via exponential counterfactual regret minimization.

A mix-supervised unified framework for salient object detection.