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Federated Learning

497 directly classified papers

Papers per year

Papers

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields ICCV 2025
A Multi-Granularity Clustering Approach for Federated Backdoor Defense with the Adam Optimizer IJCAI 2025
Federated Retrieval Augmented Generation for Multi-Product Question Answering COLING 2025
Task-Aware Prompt Gradient Projection for Parameter-Efficient Tuning Federated Class-Incremental Learning ICCV 2025
FLSeg: Enhancing Privacy and Robustness in Federated Learning under Heterogeneous Data via Model Segmentation ICCV 2025
FedAGC: Federated Continual Learning with Asymmetric Gradient Correction ICCV 2025
Federated Continual Instruction Tuning ICCV 2025
Asynchronous Federated Clustering with Unknown Number of Clusters AAAI 2025
Neural Architecture Search Driven by Locally Guided Diffusion for Personalized Federated Learning ICCV 2025
Where Does This Data Come From? Enhanced Source Inference Attacks in Federated Learning IJCAI 2025
Find a Scapegoat: Poisoning Membership Inference Attack and Defense to Federated Learning ICCV 2025
Decentralized Low-Rank Fine-Tuning of Large Language Models ACL 2025
pFedGPT: Hierarchically Optimizing LoRA Aggregation Weights for Personalized Federated GPT Models EMNLP 2025
One-shot Federated Learning Methods: A Practical Guide IJCAI 2025
Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor CVPR 2025
Model Poisoning Attacks to Federated Learning via Multi-Round Consistency CVPR 2025
Decentralized Diffusion Models CVPR 2025
Towards Privacy-preserved Pre-training of Remote Sensing Foundation Models with Federated Mutual-guidance Learning ICCV 2025
Towards Privacy-Preserving Split Learning for ControlNet WACV 2025
Data Poisoning Attack Defense and Evolutionary Domain Adaptation for Federated Medical Image Segmentation IJCAI 2025
SAP: Privacy-Preserving Fine-Tuning on Language Models with Split-and-Privatize Framework IJCAI 2025
Zero-shot Federated Unlearning via Transforming from Data-Dependent to Personalized Model-Centric IJCAI 2025
Exploiting Label Skewness for Spiking Neural Networks in Federated Learning IJCAI 2025
Model Rake: A Defense Against Stealing Attacks in Split Learning IJCAI 2025
FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging EMNLP 2025