Federated Learning Computer Vision Neural Networks Deep Learning Model Evaluation Model Training Optimization Performance Evaluation Model Optimization Algorithms Privacy Data Analysis Optimization Algorithms Data Privacy Graph Theory Generative Models Training Strategies Simulation Techniques Optimization Techniques Natural Language Processing Representation Learning Data Science Model Compression Statistical Learning 3D Representation Image Processing Model Aggregation Scene Perception Supervised Learning Scene Reconstruction 3D Representation Learning Collaborative Learning Competitions Fairness Methods Training Methods Mathematical Modelling Heterogeneous Data Detection Algorithms Privacy-Preserving Computation Unlearning Methods Data Augmentation 3D Modeling Parallel Computing Machine Unlearning Domain Adaptation Data Representation Evaluation Metrics Heterogeneous Models Data Integration Performance Metrics Foundation Models Data Efficiency Computer Graphics Rendering Techniques Classifier Design Training Algorithms Robustness Unsupervised Learning Empirical Studies Stochastic Methods Reinforcement Learning Simulations Data Transmission Data-Driven Approaches Image Recognition AI Models Geometric Processing Diffusion Models Adversarial Learning Experimental Methods Split Learning Task Delegation Model Architecture Image Classification Vision Transformers Data Pruning Recommender Systems Cross-Lingual Learning Zero-shot Learning Empirical Evaluation Hyperparameter Optimization Exploration-Exploitation Trade-off Classification Algorithms