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Federated Learning

1355 directly classified papers

Papers per year

Papers

A Simple Data Augmentation for Feature Distribution Skewed Federated Learning CVPR 2025
DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning Under Two-sided Incomplete Information IJCAI 2025
FedSaaS: Class-Consistency Federated Semantic Segmentation via Global Prototype Supervision and Local Adversarial Harmonization IJCAI 2025
FedSpaLLM: Federated Pruning of Large Language Models NAACL 2025
Paid with Models: Optimal Contract Design for Collaborative Machine Learning AAAI 2025
Towards Federated Low-Rank Adaptation of Language Models with Rank Heterogeneity NAACL 2025
F^3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics CVPR 2025
Decentralized Low-Rank Fine-Tuning of Large Language Models ACL 2025
Rethinking Federated Graph Learning: A Data Condensation Perspective IJCAI 2025
Breaking Data Silos in Parkinson’s Disease Diagnosis: An Adaptive Federated Learning Approach for Privacy-Preserving Facial Expression Analysis AAAI 2025
Large Language Models Enhanced Personalized Graph Neural Architecture Search in Federated Learning AAAI 2025
AI Assistant for Socioeconomic Empowerment Using Federated Learning NAACL 2025
AdaptPFL: Unlocking Cross-Device Palmprint Recognition via Adaptive Personalized Federated Learning with Feature Decoupling IJCAI 2025
Multilingual Symptom Detection on Social Media: Enhancing Health-related Fact-checking with LLMs ACL 2025
Model Rake: A Defense Against Stealing Attacks in Split Learning IJCAI 2025
Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learning IJCAI 2025
MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge Replay AAAI 2025
Backdoor Attack on Vertical Federated Graph Neural Network Learning IJCAI 2025
TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning AAAI 2025
MMGIA: Gradient Inversion Attack Against Multimodal Federated Learning via Intermodal Correlation IJCAI 2025
Gradient Inversion Attacks on Parameter-Efficient Fine-Tuning CVPR 2025
ADPFedGNN: Adaptive Decoupling Personalized Federated Graph Neural Network IJCAI 2025
Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning IJCAI 2025
Population Normalization for Federated Learning CVPR 2025
Forgetting Through Transforming: Enabling Federated Unlearning via Class-Aware Representation Transformation ICCV 2025