Showing 1–20 of 40 results
/ Date/ Name
Jun 4, 2009Mining Compressed Repetitive Gapped Sequential Patterns EfficientlyMay 18, 2021Value Function is All You Need: A Unified Learning Framework for Ride Hailing PlatformsJul 24, 2023HeteFedRec: Federated Recommender Systems with Model HeterogeneityJun 5, 2023A Data-driven Region Generation Framework for Spatiotemporal Transportation Service ManagementAug 1, 2012Mining Frequent Itemsets over Uncertain DatabasesDec 6, 2024eXpath: Explaining Knowledge Graph Link Prediction with Ontological Closed Path RulesFeb 2, 2025Understanding and Mitigating the High Computational Cost in Path Data DiffusionApr 14, 2025Learning to Erase Private Knowledge from Multi-Documents for Retrieval-Augmented Large Language ModelsOct 5, 2025PhaseFormer: From Patches to Phases for Efficient and Effective Time Series ForecastingFeb 5, 2026FedMosaic: Federated Retrieval-Augmented Generation via Parametric AdaptersFeb 17, 2025Less is More: Compact Clue Selection for Efficient Retrieval-Augmented Generation ReasoningDec 19, 2023Efficient and Private Federated Trajectory MatchingJan 27, 2026GraphDLG: Exploring Deep Leakage from Gradients in Federated Graph LearningJan 15, 2026CAFEDistill: Learning Personalized and Dynamic Models through Federated Early-Exit Network DistillationMar 23, 2026FGIM: a Fast Graph-based Indexes Merging Framework for Approximate Nearest Neighbor SearchApr 30, 2026Taming Noise-Induced Prototype Degradation for Privacy-Preserving Personalized Federated Fine-TuningJul 20, 2023SecureBoost Hyperparameter Tuning via Multi-Objective Federated LearningMar 6, 2023Towards Capacity-Aware Broker Matching: From Recommendation to AssignmentSep 11, 2018Reducing Uncertainty of Schema Matching via Crowdsourcing with Accuracy RatesDec 16, 2024Modeling Inter-Intra Heterogeneity for Graph Federated Learning