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Federated Learning

1355 directly classified papers

Papers per year

Papers

Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation IJCAI 2023
FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP ACL 2023
FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models ACL 2023
Bayesian Calibration of Imperfect Computer Models using Physics-Informed Priors JMLR 2023
A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates JMLR 2023
Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning JMLR 2023
Divide-and-Conquer Fusion JMLR 2023
Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training? JMLR 2023
Rethinking Federated Learning With Domain Shift: A Prototype View CVPR 2023
DaFKD: Domain-Aware Federated Knowledge Distillation CVPR 2023
A Non-parametric View of FedAvg and FedProx:Beyond Stationary Points JMLR 2023
Buffered Asynchronous SGD for Byzantine Learning JMLR 2023
Federated Learning Toolkit with Voice-based User Verification Demo INTERSPEECH 2023
Optimizing the Collaboration Structure in Cross-Silo Federated Learning ICML 2023
Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits ICML 2023
On the Convergence of Federated Averaging with Cyclic Client Participation ICML 2023
From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning ICML 2023
Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design ICML 2023
Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships ICML 2023
FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction ICML 2023
Achieving Linear Speedup in Non-IID Federated Bilevel Learning ICML 2023
Federated Linear Contextual Bandits with User-level Differential Privacy ICML 2023
Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis ICML 2023
Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation ICML 2023
Federated Adversarial Learning: A Framework with Convergence Analysis ICML 2023