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Federated Learning

1,360 papers

Papers per year

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Papers

Federated Multi-armed Bandits with Personalization AISTATS 2021
Towards Flexible Device Participation in Federated Learning AISTATS 2021
Wyner-Ziv Estimators: Efficient Distributed Mean Estimation with Side-Information AISTATS 2021
Local SGD: Unified Theory and New Efficient Methods AISTATS 2021
Near Optimal Distributed Learning of Halfspaces with Two Parties COLT 2021
(Nearly) Dimension Independent Private ERM with AdaGrad Rates\{via Publicly Estimated Subspaces COLT 2021
Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective CVPR 2021
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation EMNLP 2021
Improving Federated Learning for Aspect-based Sentiment Analysis via Topic Memories EMNLP 2021
A Secure and Efficient Federated Learning Framework for NLP EMNLP 2021
Distantly Supervised Relation Extraction in Federated Settings EMNLP 2021
Collaborative Optimization and Aggregation for Decentralized Domain Generalization and Adaptation ICCV 2021
Ensemble Attention Distillation for Privacy-Preserving Federated Learning ICCV 2021
Debiasing Model Updates for Improving Personalized Federated Training ICML 2021
Asynchronous Distributed Learning : Adapting to Gradient Delays without Prior Knowledge ICML 2021
One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning ICML 2021
Exploiting Shared Representations for Personalized Federated Learning ICML 2021
Byzantine-Resilient High-Dimensional SGD with Local Iterations on Heterogeneous Data ICML 2021
Heterogeneity for the Win: One-Shot Federated Clustering ICML 2021
A Wasserstein Minimax Framework for Mixed Linear Regression ICML 2021
Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data ICML 2021
MARINA: Faster Non-Convex Distributed Learning with Compression ICML 2021
Federated Learning of User Verification Models Without Sharing Embeddings ICML 2021
The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation ICML 2021
Practical and Private (Deep) Learning Without Sampling or Shuffling ICML 2021