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federated learning

1320 papers

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Also known as

FCL FGL FL FL OR NULL FEDMD FEDA AFL PPFL PFL FEDDG FHGL

Co-occurring keywords

distributed learning (563) communication efficiency (297) model aggregation (156) differential privacy (1010) knowledge distillation (3680) data heterogeneity (112) non-iid datum (109) privacy preservation (376) model compression (3283) distributed optimization (275)

Papers

Soft Separation and Distillation: Toward Global Uniformity in Federated Unsupervised Learning ICCV 2025
Secure On-Device Video OOD Detection Without Backpropagation ICCV 2025
Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs AAAI 2025
Efficient Federated Learning via Clients-to-Server Knowledge Distillation (Student Abstract) AAAI 2025
AI-Driven Personalized Fall Prevention for Older Adults AAAI 2025
FedMVP: Federated Multimodal Visual Prompt Tuning for Vision-Language Models ICCV 2025
You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data ICCV 2025
pFedES: Generalized Proxy Feature Extractor Sharing for Model Heterogeneous Personalized Federated Learning AAAI 2025
Fed-DFA: Federated Distillation for Heterogeneous Model Fusion Through the Adversarial Lens AAAI 2025
Mjölnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion AAAI 2025
Co-Dream: Collaborative Dream Synthesis over Decentralized Models AAAI 2025
Overcoming Heterogeneous Data in Federated Medical Vision-Language Pre-training: A Triple-Embedding Model Selector Approach AAAI 2025
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning AAAI 2025
Tackling Intertwined Data and Device Heterogeneities in Federated Learning with Unlimited Staleness AAAI 2025
Incongruent Multimodal Federated Learning for Medical Vision and Language-based Multi-label Disease Detection AAAI 2025
Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning AAAI 2025
Federated Continual Instruction Tuning ICCV 2025
Geminio: Language-Guided Gradient Inversion Attacks in Federated Learning ICCV 2025
Stealthy Backdoor Attack in Federated Learning via Adaptive Layer-wise Gradient Alignment ICCV 2025
Cross-Silo Feature Space Alignment for Federated Learning on Clients with Imbalanced Data AAAI 2025
DCHM: Dynamic Collaboration of Heterogeneous Models Through Isomerism Learning in a Blockchain-Powered Federated Learning Framework AAAI 2025
Cluster Based Heterogeneous Federated Foundation Model Adaptation and Fine-Tuning AAAI 2025
Exploring Vacant Classes in Label-Skewed Federated Learning AAAI 2025
FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis AAAI 2025
Data-Free Black-Box Federated Learning via Zeroth-Order Gradient Estimation AAAI 2025