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Federated Learning

1355 directly classified papers

Papers per year

Papers

Cluster Based Heterogeneous Federated Foundation Model Adaptation and Fine-Tuning AAAI 2025
Hypernetwork Aggregation for Decentralized Personalized Federated Learning IJCAI 2025
Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning AAAI 2025
FedHAN: A Cache-Based Semi-Asynchronous Federated Learning Framework Defending Against Poisoning Attacks in Heterogeneous Clients IJCAI 2025
Federated Learning at the Forefront of Fairness: A Multifaceted Perspective IJCAI 2025
MFL-Owner: Ownership Protection for Multi-modal Federated Learning via Orthogonal Transform Watermark AAAI 2025
Federated Unsupervised Domain Generalization Using Global and Local Alignment of Gradients AAAI 2025
Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning AAAI 2025
FedDLAD: A Federated Learning Dual-Layer Anomaly Detection Framework for Enhancing Resilience Against Backdoor Attacks IJCAI 2025
Data-Free Black-Box Federated Learning via Zeroth-Order Gradient Estimation AAAI 2025
Overcoming Heterogeneous Data in Federated Medical Vision-Language Pre-training: A Triple-Embedding Model Selector Approach AAAI 2025
Federated Domain Generalization with Decision Insight Matrix IJCAI 2025
Attribute Inference Attacks for Federated Regression Tasks AAAI 2025
FedSPU: Personalized Federated Learning for Resource-Constrained Devices with Stochastic Parameter Update AAAI 2025
Cross-Silo Feature Space Alignment for Federated Learning on Clients with Imbalanced Data AAAI 2025
FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis AAAI 2025
FedSum: Data-Efficient Federated Learning Under Data Scarcity Scenario for Text Summarization AAAI 2025
Large Language Models Enhanced Personalized Graph Neural Architecture Search in Federated Learning AAAI 2025
FedPIA – Permuting and Integrating Adapters Leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning AAAI 2025
Amharic News Topic Classification: Dataset and Transformer-Based Model Benchmarks EMNLP 2025
Split Adaptation for Pre-trained Vision Transformers CVPR 2025
Little Is Enough: Boosting Privacy by Sharing Only Hard Labels in Federated Semi-Supervised Learning AAAI 2025
Pilot: Building the Federated Multimodal Instruction Tuning Framework AAAI 2025
A Simple Data Augmentation for Feature Distribution Skewed Federated Learning CVPR 2025
Population Normalization for Federated Learning CVPR 2025