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Federated Learning

551 directly classified papers

Papers per year

Papers

FedAvP: Augment Local Data via Shared Policy in Federated Learning NIPS 2024
Federated Linear Contextual Bandits with Heterogeneous Clients AISTATS 2024
Heterogeneity-aware Clustered Distributed Learning for Multi-source Data Analysis JMLR 2024
Implicit Regularization of Decentralized Gradient Descent for Sparse Regression NIPS 2024
Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views NIPS 2024
Personalized PCA: Decoupling Shared and Unique Features JMLR 2024
DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices NIPS 2024
Revisiting Ensembling in One-Shot Federated Learning NIPS 2024
Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning NIPS 2024
Federated Learning over Connected Modes NIPS 2024
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels AAAI 2024
Federated Adaptation for Foundation Model-based Recommendations IJCAI 2024
A Privacy Preserving Federated Learning (PPFL) Based Cognitive Digital Twin (CDT) Framework for Smart Cities AAAI 2024
Gradient Coreset for Federated Learning WACV 2024
Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models EMNLP 2024
Federated Prompt Learning for Weather Foundation Models on Devices IJCAI 2024
Safely Learning with Private Data: A Federated Learning Framework for Large Language Model EMNLP 2024
FedPFT: Federated Proxy Fine-Tuning of Foundation Models IJCAI 2024
Redefining Contributions: Shapley-Driven Federated Learning IJCAI 2024
Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning AAAI 2024
FedES: Federated Early-Stopping for Hindering Memorizing Heterogeneous Label Noise IJCAI 2024
Maximum Knowledge Orthogonality Reconstruction With Gradients in Federated Learning WACV 2024
FBLG: A Local Graph Based Approach for Handling Dual Skewed Non-IID Data in Federated Learning IJCAI 2024
Late to the Party? On-Demand Unlabeled Personalized Federated Learning WACV 2024
Scalable Federated Unlearning via Isolated and Coded Sharding IJCAI 2024