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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

Dim-Krum: Backdoor-Resistant Federated Learning for NLP with Dimension-wise Krum-Based Aggregation EMNLP 2022
Federated Continual Learning for Text Classification via Selective Inter-client Transfer EMNLP 2022
SASH: Efficient secure aggregation based on SHPRG for federated learning UAI 2022
A Federated Approach to Predicting Emojis in Hindi Tweets EMNLP 2022
Federated online clustering of bandits UAI 2022
Fedvarp: Tackling the variance due to partial client participation in federated learning UAI 2022
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation EMNLP 2022
Faster non-convex federated learning via global and local momentum UAI 2022
ATPFL: Automatic Trajectory Prediction Model Design Under Federated Learning Framework CVPR 2022
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization ICML 2022
QSFL: A Two-Level Uplink Communication Optimization Framework for Federated Learning ICML 2022
Practical One-Shot Federated Learning for Cross-Silo Setting IJCAI 2021
Data-Free Knowledge Distillation for Heterogeneous Federated Learning ICML 2021
Constrained differentially private federated learning for low-bandwidth devices UAI 2021
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks ICML 2021
Ditto: Fair and Robust Federated Learning Through Personalization ICML 2021
Learning from History for Byzantine Robust Optimization ICML 2021
Federated Continual Learning with Weighted Inter-client Transfer ICML 2021
The Impact of Record Linkage on Learning from Feature Partitioned Data ICML 2021
Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix ICML 2021
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning ICML 2021
Decentralized Sharing and Valuation of Fleet Robotic Data CORL 2021
Linear Regression over Networks with Communication Guarantees L4DC 2021
Regularized Mutual Learning for Personalized Federated Learning ACML 2021
Practical and Private (Deep) Learning Without Sampling or Shuffling ICML 2021