Communication-efficient device scheduling for federated learning using stochastic optimization

J Perazzone, S Wang, M Ji… - IEEE INFOCOM 2022 …, 2022 - ieeexplore.ieee.org
Federated learning (FL) is a useful tool in distributed machine learning that utilizes users'
local datasets in a privacy-preserving manner. When deploying FL in a constrained wireless …
被引用次数：53 相关文章
[PDF] researchgate.net

[PDF][PDF] Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization

J Perazzone, S Wang, M Ji, KS Chan - researchgate.net
Federated learning (FL) is a useful tool in dis-tributed machine learning that utilizes users'
local datasets in a privacy-preserving manner. When deploying FL in a constrained wireless …

Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization

J Perazzone, S Wang, M Ji, KS Chan - openreview.net
Federated learning (FL) is a useful tool in dis-tributed machine learning that utilizes users'
local datasets in a privacy-preserving manner. When deploying FL in a constrained wireless …

Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization

J Perazzone, S Wang, M Ji, K Chan - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
Federated learning (FL) is a useful tool in distributed machine learning that utilizes users'
local datasets in a privacy-preserving manner. When deploying FL in a constrained wireless …

Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization

J Perazzone, S Wang, M Ji, KS Chan - IEEE INFOCOM 2022-IEEE …, 2022 - dl.acm.org
Federated learning (FL) is a useful tool in distributed machine learning that utilizes users'
local datasets in a privacy-preserving manner. When deploying FL in a constrained wireless …

Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization

J Perazzone, S Wang, M Ji… - IEEE Conference on …, 2022 - research.ibm.com
Federated learning (FL) is a useful tool in distributed machine learning that utilizes users'
local datasets in a privacy-preserving manner. When deploying FL in a constrained wireless …

Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization

J Perazzone, S Wang, M Ji, K Chan - arXiv preprint arXiv:2201.07912, 2022 - arxiv.org
Federated learning (FL) is a useful tool in distributed machine learning that utilizes users'
local datasets in a privacy-preserving manner. When deploying FL in a constrained wireless …