Federated Learning
1,560 papers
Papers per year
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7
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13
20
77
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228
328
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Papers
Fine-Tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning
CVPR 2022
Fine-tuning Language Models over Slow Networks using Activation Quantization with Guarantees
NeurIPS 2022
Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification
ICML 2022
FLAIR: Federated Learning Annotated Image Repository
NeurIPS 2022
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings
NeurIPS 2022
Fleet-DAgger: Interactive Robot Fleet Learning with Scalable Human Supervision
CoRL 2022
FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning
AISTATS 2022
FLVoogd: Robust And Privacy Preserving Federated
Learning
ACML 2022
GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations
NeurIPS 2022
GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Models
NeurIPS 2022
Generalized Federated Learning via Sharpness Aware Minimization
ICML 2022
Global Convergence of Federated Learning for Mixed Regression
NeurIPS 2022
Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs
IJCAI 2022
Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning
IJCAI 2022
Hierarchical Bayesian Bandits
AISTATS 2022
Hybrid Local SGD for Federated Learning with Heterogeneous Communications
ICLR 2022
Implicit Gradient Alignment in Distributed and Federated Learning
AAAI 2022
Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams
NeurIPS 2022
Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters
ICLR 2022
Improving Screening Processes via Calibrated Subset Selection
ICML 2022
Intrinsic Gradient Compression for Scalable and Efficient Federated Learning
ACL 2022
Is Your Data Relevant?: Dynamic Selection of Relevant Data for Federated Learning
AAAI 2022
Iterated Vector Fields and Conservatism, with Applications to Federated Learning
ALT 2022
LAMP: Extracting Text from Gradients with Language Model Priors
NeurIPS 2022
Layer-Wised Model Aggregation for Personalized Federated Learning
CVPR 2022