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Federated Learning

894 papers

Papers per year

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1
37
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Papers

Paid with Models: Optimal Contract Design for Collaborative Machine Learning AAAI 2025
Breaking Data Silos in Parkinson’s Disease Diagnosis: An Adaptive Federated Learning Approach for Privacy-Preserving Facial Expression Analysis AAAI 2025
BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities AAAI 2025
Little Is Enough: Boosting Privacy by Sharing Only Hard Labels in Federated Semi-Supervised Learning AAAI 2025
EFSkip: A New Error Feedback with Linear Speedup for Compressed Federated Learning with Arbitrary Data Heterogeneity AAAI 2025
FedPop: Federated Population-based Hyperparameter Tuning AAAI 2025
Federated Foundation Models on Heterogeneous Time Series AAAI 2025
DualGFL: Federated Learning with a Dual-Level Coalition-Auction Game AAAI 2025
Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks AAAI 2025
Creating Coherence in Federated Non-Negative Matrix Factorization AAAI 2025
Federated Binary Matrix Factorization Using Proximal Optimization AAAI 2025
Attribute Inference Attacks for Federated Regression Tasks AAAI 2025
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? AAAI 2025
Large Language Models Enhanced Personalized Graph Neural Architecture Search in Federated Learning AAAI 2025
SADBA: Self-Adaptive Distributed Backdoor Attack Against Federated Learning AAAI 2025
Scalable Federated One-Step Multi-View Clustering with Tensorized Regularization AAAI 2025
Beyond Federated Prototype Learning: Learnable Semantic Anchors with Hyperspherical Contrast for Domain-Skewed Data AAAI 2025
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning AAAI 2025
Multimodal Fusion Using Multi-View Domains for Data Heterogeneity in Federated Learning AAAI 2025
An Optimal Transport-based Latent Mixer for Robust Multi-modal Learning AAAI 2025
Capture Global Feature Statistics for One-Shot Federated Learning AAAI 2025
Exploring Vacant Classes in Label-Skewed Federated Learning AAAI 2025
A New Federated Learning Framework Against Gradient Inversion Attacks AAAI 2025
Federated Causally Invariant Feature Learning AAAI 2025
DCHM: Dynamic Collaboration of Heterogeneous Models Through Isomerism Learning in a Blockchain-Powered Federated Learning Framework AAAI 2025