Co-occurring keywords · papers mentioning both
Papers
Resolving the Tug-of-War: A Separation of Communication and Learning in Federated Learning
NeurIPS 2023
SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning
NeurIPS 2023
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability
ICML 2023
Sparse Random Networks for Communication-Efficient Federated Learning
ICLR 2023
SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient
ICML 2023
Why (and When) does Local SGD Generalize Better than SGD?
ICLR 2023
Zeroth-Order Methods for Nondifferentiable, Nonconvex, and Hierarchical Federated Optimization
NeurIPS 2023
3PC: Three Point Compressors for Communication-Efficient Distributed Training and a Better Theory for Lazy Aggregation
ICML 2022
A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning
NeurIPS 2022
A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks
NeurIPS 2022
A Multi-Agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning
AAAI 2022
A Resilient Distributed Boosting Algorithm
ICML 2022
Collaborative Learning of Discrete Distributions under Heterogeneity and Communication Constraints
NeurIPS 2022
Communication-Constrained Distributed Quantile Regression with Optimal Statistical Guarantees
JMLR 2022
Communication-Efficient Adaptive Federated Learning
ICML 2022
Communication Efficient Distributed Learning for Kernelized Contextual Bandits
NeurIPS 2022
Communication-efficient Distributed Learning for Large Batch Optimization
ICML 2022
Communication Efficient Federated Learning for Generalized Linear Bandits
NeurIPS 2022
Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data
ICML 2022
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning
ICML 2022
Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach
ICLR 2022
Detached Error Feedback for Distributed SGD with Random Sparsification
ICML 2022
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training
ICML 2022
Distributed Randomized Sketching Kernel Learning
AAAI 2022
EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning
ICML 2022