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Federated Learning

1355 directly classified papers

Papers per year

Papers

Modeling Inter-Intra Heterogeneity for Graph Federated Learning AAAI 2025
Mjölnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion AAAI 2025
Secure On-Device Video OOD Detection Without Backpropagation ICCV 2025
PFedCS: A Personalized Federated Learning Method for Enhancing Collaboration among Similar Classifiers AAAI 2025
Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach AAAI 2025
Flexible Sharpness-Aware Personalized Federated Learning AAAI 2025
Cluster Based Heterogeneous Federated Foundation Model Adaptation and Fine-Tuning AAAI 2025
EFSkip: A New Error Feedback with Linear Speedup for Compressed Federated Learning with Arbitrary Data Heterogeneity AAAI 2025
Fed-DFA: Federated Distillation for Heterogeneous Model Fusion Through the Adversarial Lens AAAI 2025
FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis AAAI 2025
Co-Dream: Collaborative Dream Synthesis over Decentralized Models AAAI 2025
Label-Free Backdoor Attacks in Vertical Federated Learning AAAI 2025
Tackling Intertwined Data and Device Heterogeneities in Federated Learning with Unlimited Staleness AAAI 2025
Attribute Inference Attacks for Federated Regression Tasks AAAI 2025
FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging EMNLP 2025
DCHM: Dynamic Collaboration of Heterogeneous Models Through Isomerism Learning in a Blockchain-Powered Federated Learning Framework AAAI 2025
FedFSL-CFRD: Personalized Federated Few-Shot Learning with Collaborative Feature Representation Disentanglement AAAI 2025
pFedES: Generalized Proxy Feature Extractor Sharing for Model Heterogeneous Personalized Federated Learning AAAI 2025
FedMVP: Federated Multimodal Visual Prompt Tuning for Vision-Language Models ICCV 2025
Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning AAAI 2025
Federated Learning with Heterogeneous LLMs: Integrating Small Student Client Models with a Large Hungry Model AAAI 2025
Data-Free Black-Box Federated Learning via Zeroth-Order Gradient Estimation AAAI 2025
Pilot: Building the Federated Multimodal Instruction Tuning Framework AAAI 2025
FedPIA – Permuting and Integrating Adapters Leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning AAAI 2025
Sim911: Towards Effective and Equitable 9-1-1 Dispatcher Training with an LLM-Enabled Simulation AAAI 2025