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Federated Learning

164 directly classified papers

Papers per year

Papers

EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning AAAI 2025
TTA-FedDG: Leveraging Test-Time Adaptation to Address Federated Domain Generalization AAAI 2025
FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning AAAI 2025
FedMSGL: A Self-Expressive Hypergraph Based Federated Multi-View Learning AAAI 2025
Scalable Federated One-Step Multi-View Clustering with Tensorized Regularization AAAI 2025
Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach AAAI 2025
One-shot Federated Learning Methods: A Practical Guide IJCAI 2025
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning AAAI 2025
PA3Fed: Period-Aware Adaptive Aggregation for Improved Federated Learning AAAI 2025
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning AAAI 2025
Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks AAAI 2025
SADBA: Self-Adaptive Distributed Backdoor Attack Against Federated Learning AAAI 2025
FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition IJCAI 2025
MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge Replay AAAI 2025
On the Robustness of Distributed Machine Learning Against Transfer Attacks AAAI 2025
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? AAAI 2025
EFSkip: A New Error Feedback with Linear Speedup for Compressed Federated Learning with Arbitrary Data Heterogeneity AAAI 2025
Beyond Federated Prototype Learning: Learnable Semantic Anchors with Hyperspherical Contrast for Domain-Skewed Data AAAI 2025
When Cars Meet Drones: Hyperbolic Federated Learning for Source-Free Domain Adaptation in Adverse Weather WACV 2025
TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning AAAI 2025
Towards Privacy-Preserving Split Learning for ControlNet WACV 2025
Federated Graph Condensation with Information Bottleneck Principles AAAI 2025
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields ICCV 2025
Federated Foundation Models on Heterogeneous Time Series AAAI 2025
LiD-FL: Towards List-Decodable Federated Learning AAAI 2025