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Federated Learning

551 directly classified papers

Papers per year

Papers

Compressed and distributed least-squares regression: convergence rates with applications to federated learning JMLR 2024
Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning NIPS 2024
Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization JMLR 2024
FedCBO: Reaching Group Consensus in Clustered Federated Learning through Consensus-based Optimization JMLR 2024
FedAvP: Augment Local Data via Shared Policy in Federated Learning NIPS 2024
Heterogeneity-aware Clustered Distributed Learning for Multi-source Data Analysis JMLR 2024
Personalized PCA: Decoupling Shared and Unique Features JMLR 2024
DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices NIPS 2024
Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users AAAI 2024
Gradient Coreset for Federated Learning WACV 2024
Bidirectional Contrastive Split Learning for Visual Question Answering AAAI 2024
LR-XFL: Logical Reasoning-Based Explainable Federated Learning AAAI 2024
FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning AAAI 2024
Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models EMNLP 2024
Federated Label-Noise Learning with Local Diversity Product Regularization AAAI 2024
Federated Prompt Learning for Weather Foundation Models on Devices IJCAI 2024
Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning AAAI 2024
Federated Learning via Input-Output Collaborative Distillation AAAI 2024
Safely Learning with Private Data: A Federated Learning Framework for Large Language Model EMNLP 2024
Redefining Contributions: Shapley-Driven Federated Learning IJCAI 2024
Maximum Knowledge Orthogonality Reconstruction With Gradients in Federated Learning WACV 2024
Federated Causality Learning with Explainable Adaptive Optimization AAAI 2024
Exploring One-Shot Semi-supervised Federated Learning with Pre-trained Diffusion Models AAAI 2024
Collaborative Learning across Heterogeneous Systems with Pre-Trained Models AAAI 2024
Late to the Party? On-Demand Unlabeled Personalized Federated Learning WACV 2024