heterogeneous data

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression ICLR 2025 Mean Aggregator is More Robust than Robust Aggregators under Label Poisoning Attacks on Distributed Heterogeneous Data JMLR 2025 Open-Vocabulary Fine-Grained Hand Action Detection IJCAI 2025 Overcoming Heterogeneous Data in Federated Medical Vision-Language Pre-training: A Triple-Embedding Model Selector Approach AAAI 2025 pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning AAAI 2025 PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark JMLR 2025 Population Normalization for Federated Learning CVPR 2025 PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models ICLR 2025 Privacy-Preserving Federated Convex Optimization: Balancing Partial-Participation and Efficiency via Noise Cancellation ICML 2025 Question Answering in Climate Adaptation for Agriculture: Model Development and Evaluation with Expert Feedback ACL 2025 Recursive Question Understanding for Complex Question Answering over Heterogeneous Personal Data ACL 2025 Sharp Bounds for Sequential Federated Learning on Heterogeneous Data JMLR 2025 StructFact: Reasoning Factual Knowledge from Structured Data with Large Language Models ACL 2025 Towards Robust and Efficient Federated Low-Rank Adaptation with Heterogeneous Clients ACL 2025 An Effective Augmented Lagrangian Method for Fine-Grained Multi-View Optimization AAAI 2024 Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views NeurIPS 2024 Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces AAAI 2024 CLIP-Guided Federated Learning on Heterogeneity and Long-Tailed Data AAAI 2024 Collaborative Heterogeneous Causal Inference Beyond Meta-analysis ICML 2024 Communication-Efficient Federated Learning with Accelerated Client Gradient CVPR 2024 Convergence Analysis of Split Federated Learning on Heterogeneous Data NeurIPS 2024 Cross-Feature Contrastive Loss for Decentralized Deep Learning on Heterogeneous Data WACV 2024 Data Distribution Valuation NeurIPS 2024 Exploring Hybrid Question Answering via Program-based Prompting ACL 2024 Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters ICML 2024