Federated Learning
1,560 papers
Papers per year
1
1
7
2
2
4
4
5
13
20
77
143
228
328
289
306
130
'10
'15
'20
'25
Papers
Federated Multi-Armed Bandits
AAAI 2021
Federated Multi-armed Bandits with Personalization
AISTATS 2021
Federated Multi-Task Learning under a Mixture of Distributions
NeurIPS 2021
Federated Reconstruction: Partially Local Federated Learning
NeurIPS 2021
Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning
ICLR 2021
Federated stochastic gradient Langevin dynamics
UAI 2021
FedSpeech: Federated Text-to-Speech with Continual Learning
IJCAI 2021
Few-Round Learning for Federated Learning
NeurIPS 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout
NeurIPS 2021
FLAME: Differentially Private Federated Learning in the Shuffle Model
AAAI 2021
FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective
NeurIPS 2021
Free-rider Attacks on Model Aggregation in Federated Learning
AISTATS 2021
Game of Gradients: Mitigating Irrelevant Clients in Federated Learning
AAAI 2021
Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix
ICML 2021
Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning
NeurIPS 2021
Gradient Inversion with Generative Image Prior
NeurIPS 2021
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients
ICLR 2021
Heterogeneity for the Win: One-Shot Federated Clustering
ICML 2021
Hiding Numerical Vectors in Local Private and Shuffled Messages
IJCAI 2021
Improving Federated Learning for Aspect-based Sentiment Analysis via Topic Memories
EMNLP 2021
LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy
IJCAI 2021
Learning from History for Byzantine Robust Optimization
ICML 2021
Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation
NeurIPS 2021
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients
NeurIPS 2021
Local SGD: Unified Theory and New Efficient Methods
AISTATS 2021