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Federated Learning

1355 directly classified papers

Papers per year

Papers

Federated Causally Invariant Feature Learning AAAI 2025
Efficient Federated Learning via Clients-to-Server Knowledge Distillation (Student Abstract) AAAI 2025
EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning AAAI 2025
An Efficient and Accurate Dynamic Sparse Training Framework Based on Parameter-Freezing AAAI 2025
IBAS:Imperceptible Backdoor Attacks in Split Learning with Limited Information AAAI 2025
FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning AAAI 2025
Multi-Edge Reinforced Collaborative Data Acquisition for Continuous Video Analytics by Prioritizing Quality over Quantity AAAI 2025
Learn How to Query from Unlabeled Data Streams in Federated Learning AAAI 2025
Single-Loop Federated Actor-Critic across Heterogeneous Environments AAAI 2025
LiD-FL: Towards List-Decodable Federated Learning AAAI 2025
Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach AAAI 2025
pFedGPT: Hierarchically Optimizing LoRA Aggregation Weights for Personalized Federated GPT Models EMNLP 2025
X-FLoRA: Cross-modal Federated Learning with Modality-expert LoRA for Medical VQA EMNLP 2025
CoPEFT: Fast Adaptation Framework for Multi-Agent Collaborative Perception with Parameter-Efficient Fine-Tuning AAAI 2025
Dual-calibrated Co-training Framework for Personalized Federated Semi-Supervised Medical Image Segmentation AAAI 2025
FedCALM: Conflict-aware Layer-wise Mitigation for Selective Aggregation in Deeper Personalized Federated Learning CVPR 2025
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis CVPR 2025
A Simple Data Augmentation for Feature Distribution Skewed Federated Learning CVPR 2025
Population Normalization for 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
Model Poisoning Attacks to Federated Learning via Multi-Round Consistency CVPR 2025
Large Language Models Enhanced Personalized Graph Neural Architecture Search in Federated Learning AAAI 2025
Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt AAAI 2025
FedSum: Data-Efficient Federated Learning Under Data Scarcity Scenario for Text Summarization AAAI 2025
Navigating Heterogeneity and Privacy in One-Shot Federated Learning with Diffusion Models WACV 2025