← Learning Paradigms
Artificial Intelligence › Learning Paradigms ›

Federated Learning

1355 directly classified papers

Papers per year

Papers

TTA-FedDG: Leveraging Test-Time Adaptation to Address Federated Domain Generalization AAAI 2025
EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning AAAI 2025
Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt AAAI 2025
Cluster Based Heterogeneous Federated Foundation Model Adaptation and Fine-Tuning AAAI 2025
First-Order Federated Bilevel Learning AAAI 2025
Fair Federated Survival Analysis AAAI 2025
Federated Graph-Level Clustering Network AAAI 2025
Federated t-SNE and UMAP for Distributed Data Visualization AAAI 2025
Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning IJCAI 2025
Dual-calibrated Co-training Framework for Personalized Federated Semi-Supervised Medical Image Segmentation AAAI 2025
GAS: Generative Activation-Aided Asynchronous Split Federated Learning AAAI 2025
Flexible Sharpness-Aware Personalized Federated Learning AAAI 2025
Efficient Federated Learning via Clients-to-Server Knowledge Distillation (Student Abstract) AAAI 2025
CoPEFT: Fast Adaptation Framework for Multi-Agent Collaborative Perception with Parameter-Efficient Fine-Tuning AAAI 2025
Federated Learning with Sample-level Client Drift Mitigation AAAI 2025
WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling AAAI 2025
Decentralized Federated Learning with Model Caching on Mobile Agents AAAI 2025
Reinforcement Active Client Selection for Federated Heterogeneous Graph Learning AAAI 2025
Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach AAAI 2025
FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation AAAI 2025
FedHAN: A Cache-Based Semi-Asynchronous Federated Learning Framework Defending Against Poisoning Attacks in Heterogeneous Clients IJCAI 2025
Secure On-Device Video OOD Detection Without Backpropagation ICCV 2025
FedDLAD: A Federated Learning Dual-Layer Anomaly Detection Framework for Enhancing Resilience Against Backdoor Attacks IJCAI 2025
Understanding Impact of Human Feedback via Influence Functions ACL 2025
Federated Recommendation with Explicitly Encoding Item Bias AAAI 2025