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Federated Learning

1355 directly classified papers

Papers per year

Papers

Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning NAACL 2024
Hierarchical Federated Learning with Multi-Timescale Gradient Correction NIPS 2024
FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning IJCAI 2024
A multi-modal distributed learning algorithm in reproducing kernel Hilbert spaces L4DC 2024
FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models EMNLP 2024
FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning CVPR 2024
Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding COLING 2024
Enhancing Byzantine-Resistant Aggregations with Client Embedding EMNLP 2024
Personalized Federated Learning for Cross-City Traffic Prediction IJCAI 2024
Low-Resource Machine Translation through the Lens of Personalized Federated Learning EMNLP 2024
Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning NIPS 2024
Federated Document-Level Biomedical Relation Extraction with Localized Context Contrast COLING 2024
FedES: Federated Early-Stopping for Hindering Memorizing Heterogeneous Label Noise IJCAI 2024
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA EMNLP 2024
Bayesian Regression Markets JMLR 2024
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning IJCAI 2024
Personalized Federated X-armed Bandit AISTATS 2024
A deep learning approach for distributed aggregative optimization with users’ Feedback L4DC 2024
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning CVPR 2024
Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models COLING 2024
FBLG: A Local Graph Based Approach for Handling Dual Skewed Non-IID Data in Federated Learning IJCAI 2024
Enhancing Dual-Target Cross-Domain Recommendation with Federated Privacy-Preserving Learning IJCAI 2024
Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models EMNLP 2024
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning CVPR 2024
Federated Ensemble-Directed Offline Reinforcement Learning NIPS 2024