heterogeneous data

Evidence-Driven Reasoning for Industrial Maintenance Using Heterogeneous Data ACL 2026 Format as a Prior: Quantifying and Analyzing Bias in LLMs for Heterogeneous Data AAAI 2026 Heterogeneous Aligned Fusion for Survival Classification with Missing Modalities MIDL 2026 ICAD-LLM: One-for-All Anomaly Detection via In-Context Learning with Large Language Models AAAI 2026 AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark ACL 2025 An Effective Incorporating Heterogeneous Knowledge Curriculum Learning for Sequence Labeling ACL 2025 Bifurcate then Alienate: Incomplete Multi-view Clustering via Coupled Distribution Learning with Linear Overhead ICML 2025 Class-Wise Federated Averaging for Efficient Personalization ICCV 2025 COME: Dual Structure-Semantic Learning with Collaborative MoE for Universal Lesion Detection Across Heterogeneous Ultrasound Datasets ICCV 2025 Constant Stepsize Local GD for Logistic Regression: Acceleration by Instability ICML 2025 Declarative Techniques for NL Queries over Heterogeneous Data EMNLP 2025 Diffusion Transformers for Tabular Data Time Series Generation ICLR 2025 Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies ICLR 2025 Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learning IJCAI 2025 EWoRA: Expert Weighted Low-Rank Adaptation for Heterogeneous Data IJCNLP 2025 Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities WACV 2025 FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data IJCAI 2025 Federated Foundation Models on Heterogeneous Time Series AAAI 2025 Federated Prompt-Tuning with Heterogeneous and Incomplete Multimodal Client Data ICCV 2025 FedMABench: Benchmarking Mobile GUI Agents on Decentralized Heterogeneous User Data EMNLP 2025 FedSSI: Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence ICML 2025 FedTMOS: Efficient One-Shot Federated Learning with Tsetlin Machine ICLR 2025 FLSeg: Enhancing Privacy and Robustness in Federated Learning under Heterogeneous Data via Model Segmentation ICCV 2025 ICE-T: Interactions-aware Cross-column Contrastive Embedding for Heterogeneous Tabular Datasets AAAI 2025 Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging ICML 2025