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Federated Learning

551 directly classified papers

Papers per year

Papers

Personalized Image Privacy Advisors via Federated Daisy-Chaining WACV 2026
FedCure: Mitigating Participation Bias in Semi-Asynchronous Federated Learning with Non-IID Data AAAI 2026
Multi-Modal Style Transfer-based Prompt Tuning for Efficient Federated Domain Generalization AAAI 2026
FedEFC: Federated Learning Using Enhanced Forward Correction Against Noisy Labels WACV 2026
Enhanced Federated Deep Multi-View Clustering Under Uncertainty Scenario AAAI 2026
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback JMLR 2025
Population Normalization for Federated Learning CVPR 2025
PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark JMLR 2025
Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing ICCV 2025
Stealthy Backdoor Attack in Federated Learning via Adaptive Layer-wise Gradient Alignment ICCV 2025
LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement ICCV 2025
AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models CVPR 2025
A Simple Data Augmentation for Feature Distribution Skewed Federated Learning CVPR 2025
F^3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics CVPR 2025
Geminio: Language-Guided Gradient Inversion Attacks in Federated Learning ICCV 2025
When Cars Meet Drones: Hyperbolic Federated Learning for Source-Free Domain Adaptation in Adverse Weather WACV 2025
Personalized Mixture of Experts for Multi-Site Medical Image Segmentation WACV 2025
Scalable and Trustworthy Learning in Heterogeneous Networks AAAI 2025
FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition IJCAI 2025
Cooperative Pseudo Labeling for Unsupervised Federated Classification ICCV 2025
FedBG: Proactively Mitigating Bias in Cross-Domain Graph Federated Learning Using Background Data IJCAI 2025
Federated Prompt-Tuning with Heterogeneous and Incomplete Multimodal Client Data ICCV 2025
Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack ICCV 2025
FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated Learning ICCV 2025
Graph Consistency and Diversity Measurement for Federated Multi-View Clustering AAAI 2025