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Federated Learning

894 papers

Papers per year

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37
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Papers

CRFL: Certifiably Robust Federated Learning against Backdoor Attacks ICML 2021
BASGD: Buffered Asynchronous SGD for Byzantine Learning ICML 2021
Federated Continual Learning with Weighted Inter-client Transfer ICML 2021
Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity ICML 2021
Federated Composite Optimization ICML 2021
Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization IJCAI 2021
Practical One-Shot Federated Learning for Cross-Silo Setting IJCAI 2021
Federated Model Distillation with Noise-Free Differential Privacy IJCAI 2021
LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy IJCAI 2021
Federated Learning with Fair Averaging IJCAI 2021
Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning IJCAI 2021
Hiding Numerical Vectors in Local Private and Shuffled Messages IJCAI 2021
FedSpeech: Federated Text-to-Speech with Continual Learning IJCAI 2021
Communication-Efficient Agnostic Federated Averaging INTERSPEECH 2021
Zero-Shot Federated Learning with New Classes for Audio Classification INTERSPEECH 2021
One-Shot Federated Learning: Theoretical Limits and Algorithms to Achieve Them JMLR 2021
Cooperative SGD: A Unified Framework for the Design and Analysis of Local-Update SGD Algorithms JMLR 2021
FATE: An Industrial Grade Platform for Collaborative Learning With Data Protection JMLR 2021
Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo JMLR 2021
Model Linkage Selection for Cooperative Learning JMLR 2021
Accelerating Distributed SGD for Linear Regression using Iterative Pre-Conditioning L4DC 2021
Linear Regression over Networks with Communication Guarantees L4DC 2021
Oort: Efficient Federated Learning via Guided Participant Selection OSDI 2021
Ensemble Distillation for Robust Model Fusion in Federated Learning NIPS 2020
Privacy Amplification via Random Check-Ins NIPS 2020