Co-occurring keywords · papers mentioning both
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