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Federated Learning

164 directly classified papers

Papers per year

Papers

Federated Graph Learning for Cross-Domain Recommendation NIPS 2024
Concealing Sensitive Samples against Gradient Leakage in Federated Learning AAAI 2024
FedCD: Federated Semi-Supervised Learning with Class Awareness Balance via Dual Teachers AAAI 2024
On the Role of Server Momentum in Federated Learning AAAI 2024
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels AAAI 2024
Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images AAAI 2024
Adversarial Attacks on Federated-Learned Adaptive Bitrate Algorithms AAAI 2024
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning CVPR 2024
(FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning NIPS 2024
Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning NIPS 2024
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion NIPS 2024
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA EMNLP 2024
Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method NIPS 2024
User Inference Attacks on Large Language Models EMNLP 2024
Safely Learning with Private Data: A Federated Learning Framework for Large Language Model EMNLP 2024
A Hassle-free Algorithm for Strong Differential Privacy in Federated Learning Systems EMNLP 2024
Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients EMNLP 2024
Enhancing Byzantine-Resistant Aggregations with Client Embedding EMNLP 2024
FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning NIPS 2024
Can LLMs get help from other LLMs without revealing private information? ACL 2024
Revisiting Ensembling in One-Shot Federated Learning NIPS 2024
Cross-Feature Contrastive Loss for Decentralized Deep Learning on Heterogeneous Data WACV 2024
Text-Enhanced Data-free Approach for Federated Class-Incremental Learning CVPR 2024
Dual-Personalizing Adapter for Federated Foundation Models NIPS 2024
Federated Model Heterogeneous Matryoshka Representation Learning NIPS 2024