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Federated Learning
551 directly classified papers
Papers per year
2007: 1
2012: 3
2014: 1
2015: 1
2017: 4
2018: 2
2019: 5
2020: 23
2021: 51
2022: 89
2023: 95
2024: 144
2025: 127
2026: 5
Papers
FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations
NIPS 2024
Federated Automatic Differentiation
JMLR 2024
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
Federated Graph Learning for Cross-Domain Recommendation
NIPS 2024
Can Public Large Language Models Help Private Cross-device Federated Learning?
NAACL 2024
FedCBO: Reaching Group Consensus in Clustered Federated Learning through Consensus-based Optimization
JMLR 2024
Federated Adaptation for Foundation Model-based Recommendations
IJCAI 2024
Personalized Federated Learning via Feature Distribution Adaptation
NIPS 2024
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning
IJCAI 2024
Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift
NIPS 2024
Stakeholder-oriented Decision Support for Auction-based Federated Learning
IJCAI 2024
Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data
NIPS 2024
Exploring One-Shot Semi-supervised Federated Learning with Pre-trained Diffusion Models
AAAI 2024
FedAvP: Augment Local Data via Shared Policy in Federated Learning
NIPS 2024
Multi-Dimensional Fair Federated Learning
AAAI 2024
Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization
AAAI 2024
Bidirectional Contrastive Split Learning for Visual Question Answering
AAAI 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
A Primal-Dual Algorithm for Hybrid Federated Learning
AAAI 2024
Gradient Coreset for Federated Learning
WACV 2024
Towards Fair Graph Federated Learning via Incentive Mechanisms
AAAI 2024
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