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Federated Learning

551 directly classified papers

Papers per year

Papers

A Unified Analysis of Federated Learning with Arbitrary Client Participation NIPS 2022
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach NIPS 2022
Task-level Differentially Private Meta Learning NIPS 2022
Is Your Data Relevant?: Dynamic Selection of Relevant Data for Federated Learning AAAI 2022
A Multi-Agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning AAAI 2022
AsyncFL: Asynchronous Federated Learning Using Majority Voting with Quantized Model Updates (Student Abstract) AAAI 2022
FedCC: Federated Learning with Consensus Confirmation for Byzantine Attack Resistance (Student Abstract) AAAI 2022
CrowdFL: A Marketplace for Crowdsourced Federated Learning AAAI 2022
DENSE: Data-Free One-Shot Federated Learning NIPS 2022
FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction NIPS 2022
Federated Continual Learning with Weighted Inter-client Transfer ICML 2021
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning ICML 2021
Lossless Compression of Efficient Private Local Randomizers ICML 2021
One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning ICML 2021
Ensemble Attention Distillation for Privacy-Preserving Federated Learning ICCV 2021
Model Linkage Selection for Cooperative Learning JMLR 2021
Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo JMLR 2021
FATE: An Industrial Grade Platform for Collaborative Learning With Data Protection JMLR 2021
Zero-Shot Federated Learning with New Classes for Audio Classification INTERSPEECH 2021
Addressing Class Imbalance in Federated Learning AAAI 2021
Collaborative Unsupervised Visual Representation Learning From Decentralized Data ICCV 2021
Multi-Institutional Collaborations for Improving Deep Learning-Based Magnetic Resonance Image Reconstruction Using Federated Learning CVPR 2021
Federated Learning for Non-IID Data via Unified Feature Learning and Optimization Objective Alignment ICCV 2021
A Secure and Efficient Federated Learning Framework for NLP EMNLP 2021
Federated Learning of User Verification Models Without Sharing Embeddings ICML 2021