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Federated Learning

1,360 papers

Papers per year

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Papers

Learning from History for Byzantine Robust Optimization ICML 2021
Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix ICML 2021
Privacy-Preserving Feature Selection with Secure Multiparty Computation ICML 2021
Ditto: Fair and Robust Federated Learning Through Personalization ICML 2021
Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning ICML 2021
The Impact of Record Linkage on Learning from Feature Partitioned Data ICML 2021
DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs ICML 2021
Personalized Federated Learning using Hypernetworks ICML 2021
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks ICML 2021
BASGD: Buffered Asynchronous SGD for Byzantine Learning ICML 2021
Data-Free Knowledge Distillation for Heterogeneous Federated Learning 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
Federated Learning with Dynamic Transformer for Text to Speech INTERSPEECH 2021
One-Shot Federated Learning: Theoretical Limits and Algorithms to Achieve Them 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