Showing 21–40 of 42 results
/ Date/ Name
Feb 24, 2023TrafFormer: A Transformer Model for Predicting Long-term TrafficSep 17, 2021Learning Enhanced Optimisation for Routing ProblemsOct 29, 2021ADDS: Adaptive Differentiable Sampling for Robust Multi-Party LearningDec 29, 2025Energy and Memory-Efficient Federated Learning With Ordered Layer FreezingJul 26, 2023One-Nearest Neighborhood Guides Inlier Estimation for Unsupervised Point Cloud RegistrationMay 31, 2022Sample-Efficient, Exploration-Based Policy Optimisation for Routing ProblemsAug 3, 2025Bridging Generalization Gap of Heterogeneous Federated Clients Using Generative ModelsOct 23, 2020Learning to Optimise General TSP InstancesOct 24, 2022Deep Edge Intelligence: Architecture, Key Features, Enabling Technologies and ChallengesMar 11, 2021Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a BlinkOct 12, 2020Locality Preserving Dense Graph Convolutional Networks with Graph Context-Aware Node RepresentationsApr 2, 2021An attention-based unsupervised adversarial model for movie review spam detectionApr 14, 2021Towards Explainable Multi-Party Learning: A Contrastive Knowledge Sharing FrameworkAug 20, 2021AdvDrop: Adversarial Attack to DNNs by Dropping InformationDec 5, 2021Exploring the interpretability of deep neural networks used for gravitational lens finding with a sensitivity probeOct 12, 2022Traffic disruption modelling with mode shift in multi-modal networksMar 18, 2024FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter UpdateAug 5, 2025On the Fast Adaptation of Delayed Clients in Decentralized Federated Learning: A Centroid-Aligned Distillation ApproachJan 16, 2026A self-evolving multi-role collaborative framework with fine-grained difficulty guidance for innovative mathematical problem generationMar 30, 2026Taming the Instability: A Robust Second-Order Optimizer for Federated Learning over Non-IID Data