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non-iid data

132 papers

NON-I.I.D. NON-IID

Papers

Breaking Cross-View Associations: Byzantine Model Poisoning Attack against Vertical Federated Learning AAAI 2026 Class-Aware Active Annotation in Federated Semi-Supervised Learning for Medical Image Classification AAAI 2026 Decoupling Shared and Personalized Knowledge: A Dual-Branch Federated Learning Framework for Multi-Domain with Non-IID Data AAAI 2026 FedAlign: Differentially Private Distribution Alignment for Non-IID Federated Learning CVPR 2026 FedARA: Resource-adaptive Low-rank Personalized Federated Learning via Anchor-driven Representation Alignment on Heterogeneous Edge Devices CVPR 2026 FedCure: Mitigating Participation Bias in Semi-Asynchronous Federated Learning with Non-IID Data AAAI 2026 FedMerge: Federated Model Merging for Personalization AAAI 2026 FedSDA: Federated Stain Distribution Alignment for Non-IID Histopathological Image Classification AAAI 2026 GDFA: Geometry-Driven Federated Unlearning with Directional Task Vector Alignment CVPR 2026 Generalized and Personalized Federated Learning with Black-Box Foundation Models via Orthogonal Transformations CVPR 2026 Intra-Class Unbiased Prototype Aggregation and Classifier Collaboration for Personalized Federated Learning AAAI 2026 Single-Round Scalable Analytic Federated Learning CVPR 2026 Topological Federated Clustering via Gravitational Potential Fields Under Local Differential Privacy AAAI 2026 Towards Understanding In-Context Learning of Transformers Under Non-I.I.D. Scenarios AAAI 2026 UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data (Student Abstract) AAAI 2026 AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models CVPR 2025 A Simple Data Augmentation for Feature Distribution Skewed Federated Learning CVPR 2025 Asynchronous Federated Clustering with Unknown Number of Clusters AAAI 2025 Breaking Data Silos in Parkinson’s Disease Diagnosis: An Adaptive Federated Learning Approach for Privacy-Preserving Facial Expression Analysis AAAI 2025 Capture Global Feature Statistics for One-Shot Federated Learning AAAI 2025 Convergence Analysis of Federated Learning Methods Using Backward Error Analysis AAAI 2025 CSAHFL:Clustered Semi-Asynchronous Hierarchical Federated Learning for Dual-layer Non-IID in Heterogeneous Edge Computing Networks IJCAI 2025 Distilling A Universal Expert from Clustered Federated Learning IJCAI 2025 DPFL: Decentralized Personalized Federated Learning AISTATS 2025 FedECADO: A Dynamical System Model of Federated Learning ICML 2025