Co-occurring keywords · papers mentioning both
Papers
One-Shot Federated Learning: Theoretical Limits and Algorithms to Achieve Them
JMLR 2021
On the Convergence of Communication-Efficient Local SGD for Federated Learning
AAAI 2021
Personalized Federated Learning using Hypernetworks
ICML 2021
SGD with low-dimensional gradients with applications to private and distributed learning
UAI 2021
Shuffled Model of Differential Privacy in Federated Learning
AISTATS 2021
Step-Ahead Error Feedback for Distributed Training with Compressed Gradient
AAAI 2021
Wyner-Ziv Estimators: Efficient Distributed Mean Estimation with Side-Information
AISTATS 2021
Adaptive Gradient Quantization for Data-Parallel SGD
NeurIPS 2020
A Double Residual Compression Algorithm for Efficient Distributed Learning
AISTATS 2020
Breaking the Communication-Privacy-Accuracy Trilemma
NeurIPS 2020
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction
AISTATS 2020
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction
JMLR 2020
Communication-Efficient Distributed PCA by Riemannian Optimization
ICML 2020
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks
ICML 2020
CSER: Communication-efficient SGD with Error Reset
NeurIPS 2020
DAve-QN: A Distributed Averaged Quasi-Newton Method with Local Superlinear Convergence Rate
AISTATS 2020
DINO: Distributed Newton-Type Optimization Method
ICML 2020
Distributed Newton Can Communicate Less and Resist Byzantine Workers
NeurIPS 2020
Distributionally Robust Federated Averaging
NeurIPS 2020
Don't Use Large Mini-batches, Use Local SGD
ICLR 2020
D-SPIDER-SFO: A Decentralized Optimization Algorithm with Faster Convergence Rate for Nonconvex Problems
AAAI 2020
Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy
AISTATS 2020
Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks
NeurIPS 2020
Fair Resource Allocation in Federated Learning
ICLR 2020
FedBoost: A Communication-Efficient Algorithm for Federated Learning
ICML 2020