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Federated Learning

1355 directly classified papers

Papers per year

Papers

On Large-Cohort Training for Federated Learning NIPS 2021
PartialFed: Cross-Domain Personalized Federated Learning via Partial Initialization NIPS 2021
Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning NIPS 2021
A Stochastic Newton Algorithm for Distributed Convex Optimization NIPS 2021
Federated Linear Contextual Bandits NIPS 2021
Renyi Differential Privacy of The Subsampled Shuffle Model In Distributed Learning NIPS 2021
Differentially Private Model Personalization NIPS 2021
Gradient Inversion with Generative Image Prior NIPS 2021
Delayed Gradient Averaging: Tolerate the Communication Latency for Federated Learning NIPS 2021
FedDR – Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization NIPS 2021
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks ICML 2021
CAFE: Catastrophic Data Leakage in Vertical Federated Learning NIPS 2021
Convergence and Accuracy Trade-Offs in Federated Learning and Meta-Learning AISTATS 2021
Debiasing Model Updates for Improving Personalized Federated Training ICML 2021
(Nearly) Dimension Independent Private ERM with AdaGrad Rates\{via Publicly Estimated Subspaces COLT 2021
Parameterized Knowledge Transfer for Personalized Federated Learning NIPS 2021
Understanding Unintended Memorization in Language Models Under Federated Learning NAACL 2021
An Investigation towards Differentially Private Sequence Tagging in a Federated Framework NAACL 2021
Mean-Variance Analysis in Bayesian Optimization under Uncertainty AISTATS 2021
Collaborative Classification from Noisy Labels AISTATS 2021
Membership Inference Attacks on Deep Regression Models for Neuroimaging MIDL 2021
A Wasserstein Minimax Framework for Mixed Linear Regression ICML 2021
Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data ICML 2021
Asynchronous Distributed Learning : Adapting to Gradient Delays without Prior Knowledge ICML 2021
Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning ICML 2021