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federated learning

1320 papers

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Also known as

FL

Co-occurring keywords

distributed learning (563) communication efficiency (297) model aggregation (156) differential privacy (1010) knowledge distillation (3680) data heterogeneity (112) non-iid datum (109) privacy preservation (376) model compression (3283) distributed optimization (275)

Papers

Membership Inference Attacks on Deep Regression Models for Neuroimaging MIDL 2021
DeepReduce: A Sparse-tensor Communication Framework for Federated Deep Learning NIPS 2021
MARINA: Faster Non-Convex Distributed Learning with Compression ICML 2021
A Wasserstein Minimax Framework for Mixed Linear Regression ICML 2021
Byzantine-Resilient High-Dimensional SGD with Local Iterations on Heterogeneous Data ICML 2021
One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning ICML 2021
Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning AAAI 2021
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning NIPS 2021
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data NIPS 2021
The Skellam Mechanism for Differentially Private Federated Learning NIPS 2021
Robust and differentially private mean estimation NIPS 2021
Accumulative Poisoning Attacks on Real-time Data NIPS 2021
Optimality and Stability in Federated Learning: A Game-theoretic Approach NIPS 2021
Sageflow: Robust Federated Learning against Both Stragglers and Adversaries NIPS 2021
DRIVE: One-bit Distributed Mean Estimation NIPS 2021
Federated stochastic gradient Langevin dynamics UAI 2021
FATE: An Industrial Grade Platform for Collaborative Learning With Data Protection JMLR 2021
See Through Gradients: Image Batch Recovery via GradInversion CVPR 2021
Federated Composite Optimization ICML 2021
Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving EMNLP 2021
Fast Federated Learning in the Presence of Arbitrary Device Unavailability NIPS 2021
FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective NIPS 2021
CANITA: Faster Rates for Distributed Convex Optimization with Communication Compression NIPS 2021
Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation NIPS 2021
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients NIPS 2021