Federated Learning
1,560 papers
Papers per year
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1
7
2
2
4
4
5
13
20
77
143
228
328
289
306
130
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'25
Papers
IBA: Towards Irreversible Backdoor Attacks in Federated Learning
NeurIPS 2023
Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates
NeurIPS 2023
Improving the Model Consistency of Decentralized Federated Learning
ICML 2023
Incentive-Boosted Federated Crowdsourcing
AAAI 2023
Incentives in Federated Learning: Equilibria, Dynamics, and Mechanisms for Welfare Maximization
NeurIPS 2023
Incentivizing Honesty among Competitors in Collaborative Learning and Optimization
NeurIPS 2023
Industry-Scale Orchestrated Federated Learning for Drug Discovery
AAAI 2023
Inner Product-based Neural Network Similarity
NeurIPS 2023
Instance-wise Batch Label Restoration via Gradients in Federated Learning
ICLR 2023
Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning
NeurIPS 2023
Knowledge-Aware Federated Active Learning with Non-IID Data
ICCV 2023
L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning
ICCV 2023
LeadFL: Client Self-Defense against Model Poisoning in Federated Learning
ICML 2023
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning
WACV 2023
Learning Federated Visual Prompt in Null Space for MRI Reconstruction
CVPR 2023
Learning To Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning
UAI 2023
Lifelong bandit optimization: no prior and no regret
UAI 2023
Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels
ICCV 2023
Machine Unlearning of Federated Clusters
ICLR 2023
Make Landscape Flatter in Differentially Private Federated Learning
CVPR 2023
MAS: Towards Resource-Efficient Federated Multiple-Task Learning
ICCV 2023
Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning
JMLR 2023
Meta Knowledge Condensation for Federated Learning
ICLR 2023
MGIA: Mutual Gradient Inversion Attack in Multi-Modal Federated Learning (Student Abstract)
AAAI 2023
Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training?
JMLR 2023