conftrace_

non-iid datum

109 papers

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Co-occurring keywords

federated learning (1333) model aggregation (156) personalized model (89) knowledge distillation (3725) distributed learning (563) domain adaptation (4595) data heterogeneity (115) privacy preservation (380) convergence analysis (395) client selection (23)

Papers

Class-Aware Active Annotation in Federated Semi-Supervised Learning for Medical Image Classification AAAI 2026
Breaking Cross-View Associations: Byzantine Model Poisoning Attack against Vertical Federated Learning AAAI 2026
Towards Understanding In-Context Learning of Transformers Under Non-I.I.D. Scenarios AAAI 2026
Intra-Class Unbiased Prototype Aggregation and Classifier Collaboration for Personalized Federated Learning AAAI 2026
Decoupling Shared and Personalized Knowledge: A Dual-Branch Federated Learning Framework for Multi-Domain with Non-IID Data AAAI 2026
UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data (Student Abstract) AAAI 2026
Topological Federated Clustering via Gravitational Potential Fields Under Local Differential Privacy AAAI 2026
FedCure: Mitigating Participation Bias in Semi-Asynchronous Federated Learning with Non-IID Data AAAI 2026
FedSDA: Federated Stain Distribution Alignment for Non-IID Histopathological Image Classification AAAI 2026
FedMerge: Federated Model Merging for Personalization AAAI 2026
Breaking Data Silos in Parkinson’s Disease Diagnosis: An Adaptive Federated Learning Approach for Privacy-Preserving Facial Expression Analysis AAAI 2025
Asynchronous Federated Clustering with Unknown Number of Clusters AAAI 2025
Capture Global Feature Statistics for One-Shot Federated Learning AAAI 2025
A Simple Data Augmentation for Feature Distribution Skewed Federated Learning CVPR 2025
Federated Graph-Level Clustering Network AAAI 2025
FedPop: Federated Population-based Hyperparameter Tuning AAAI 2025
Heterogeneous Federated Learning with Scalable Server Mixture-of-Experts IJCAI 2025
FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning CVPR 2025
Distilling A Universal Expert from Clustered Federated Learning IJCAI 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
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields ICCV 2025
MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge Replay AAAI 2025
FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition IJCAI 2025
AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models CVPR 2025