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Federated Learning

1355 directly classified papers

Papers per year

Papers

Compressed and distributed least-squares regression: convergence rates with applications to federated learning JMLR 2024
Adaptive Federated Minimax Optimization with Lower Complexities AISTATS 2024
FedCBO: Reaching Group Consensus in Clustered Federated Learning through Consensus-based Optimization JMLR 2024
Adapted Weighted Aggregation in Federated Learning AAAI 2024
Heterogeneity-aware Clustered Distributed Learning for Multi-source Data Analysis JMLR 2024
Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization AISTATS 2024
Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data NIPS 2024
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion NIPS 2024
Frequency Oracle for Sensitive Data Monitoring (Student Abstract) AAAI 2024
HiFi-Gas: Hierarchical Federated Learning Incentive Mechanism Enhanced Gas Usage Estimation AAAI 2024
LR-XFL: Logical Reasoning-Based Explainable Federated Learning AAAI 2024
Concealing Sensitive Samples against Gradient Leakage in Federated Learning AAAI 2024
Multi-Agent Bandit Learning through Heterogeneous Action Erasure Channels AISTATS 2024
Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework AAAI 2024
Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users AAAI 2024
(FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning NIPS 2024
Towards the Robustness of Differentially Private Federated Learning AAAI 2024
Federated Label-Noise Learning with Local Diversity Product Regularization AAAI 2024
SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization AISTATS 2024
Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences NIPS 2024
Communication-Efficient Federated Learning With Data and Client Heterogeneity AISTATS 2024
A multi-modal distributed learning algorithm in reproducing kernel Hilbert spaces L4DC 2024
Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views NIPS 2024
Escaping Saddle Points in Heterogeneous Federated Learning via Distributed SGD with Communication Compression AISTATS 2024
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity NIPS 2024