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Federated Learning

1355 directly classified papers

Papers per year

Papers

Divide, Conquer and Unite: Hierarchical Style-Recalibrated Prototype Alignment for Federated Medical Segmentation AAAI 2026
Intra-Class Unbiased Prototype Aggregation and Classifier Collaboration for Personalized Federated Learning AAAI 2026
FILTER: A Framework for Defending Against Backdoor Attacks in Vertical Federated Learning AAAI 2026
Generic Adversarial Attack Framework Against Graph-based Vertical Federated Learning AAAI 2026
HealSplit: Towards Self-Healing Through Adversarial Distillation in Split Federated Learning AAAI 2026
Bayesian Network Structural Consensus via Greedy Min-Cut Analysis AAAI 2026
Federated Cross-Modal Style-Aware Prompt Generation (Student Abstract) AAAI 2026
Breaking Cross-View Associations: Byzantine Model Poisoning Attack against Vertical Federated Learning AAAI 2026
AEGIS: Toward Expert-in-the-loop Industrial Anomaly Detection AAAI 2026
FedALT: Federated Fine-Tuning Through Adaptive Local Training with Rest-of-World LoRA AAAI 2026
Generic Adversarial Attack Framework Against Vertical Federated Learning IJCAI 2025
Gradient Inversion Attacks on Parameter-Efficient Fine-Tuning CVPR 2025
Population Normalization for Federated Learning CVPR 2025
FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning CVPR 2025
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback JMLR 2025
PPC-GPT: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought Distillation EMNLP 2025
FedCALM: Conflict-aware Layer-wise Mitigation for Selective Aggregation in Deeper Personalized Federated Learning CVPR 2025
A Simple Data Augmentation for Feature Distribution Skewed Federated Learning CVPR 2025
FedCPD:Personalized Federated Learning with Prototype-Enhanced Representation and Memory Distillation IJCAI 2025
CSAHFL:Clustered Semi-Asynchronous Hierarchical Federated Learning for Dual-layer Non-IID in Heterogeneous Edge Computing Networks IJCAI 2025
EcoLoRA: Communication-Efficient Federated Fine-Tuning of Large Language Models EMNLP 2025
Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor CVPR 2025
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis CVPR 2025
AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models CVPR 2025
Universal Backdoor Defense via Label Consistency in Vertical Federated Learning IJCAI 2025