Parallel successive learning for dynamic distributed model training over heterogeneous wireless networks

S Hosseinalipour, S Wang, N Michelusi… - IEEE/ACM …, 2023 - ieeexplore.ieee.org
Federated learning (FedL) has emerged as a popular technique for distributing model
training over a set of wireless devices, via iterative local updates (at devices) and global …
被引用次数：22 相关文章

Parallel Successive Learning for Dynamic Distributed Model Training over Heterogeneous Wireless Networks

S Hosseinalipour, S Wang, N Michelusi… - arXiv preprint arXiv …, 2022 - arxiv.org
Federated learning (FedL) has emerged as a popular technique for distributing model
training over a set of wireless devices, via iterative local updates (at devices) and global …

[引用][C] Parallel Successive Learning for Dynamic Distributed Model Training Over Heterogeneous Wireless Networks

S Hosseinalipour, S Wang, N Michelusi… - IEEE/ACM Transactions …, 2023 - par.nsf.gov

Parallel Successive Learning for Dynamic Distributed Model Training over Heterogeneous Wireless Networks

S Hosseinalipour, S Wang… - IEEE/ACM …, 2024 - collaborate.princeton.edu
Federated learning (FedL) has emerged as a popular technique for distributing model
training over a set of wireless devices, via iterative local updates (at devices) and global …

Parallel Successive Learning for Dynamic Distributed Model Training over Heterogeneous Wireless Networks

S Hosseinalipour, S Wang, N Michelusi… - IEEE/ACM …, 2024 - asu.elsevierpure.com
Federated learning (FedL) has emerged as a popular technique for distributing model
training over a set of wireless devices, via iterative local updates (at devices) and global …

Parallel Successive Learning for Dynamic Distributed Model Training over Heterogeneous Wireless Networks

S Hosseinalipour, S Wang, N Michelusi… - arXiv e …, 2022 - ui.adsabs.harvard.edu
Federated learning (FedL) has emerged as a popular technique for distributing model
training over a set of wireless devices, via iterative local updates (at devices) and global …

Parallel Successive Learning for Dynamic Distributed Model Training Over Heterogeneous Wireless Networks

S Hosseinalipour, S Wang, N Michelusi… - … /ACM Transactions on …, 2023 - computer.org
Federated learning (FedL) has emerged as a popular technique for distributing model
training over a set of wireless devices, via iterative local updates (at devices) and global …

Parallel Successive Learning for Dynamic Distributed Model Training Over Heterogeneous Wireless Networks

S Hosseinalipour, S Wang, N Michelusi… - IEEE/ACM Transactions …, 2024 - dl.acm.org
Federated learning (FedL) has emerged as a popular technique for distributing model
training over a set of wireless devices, via iterative local updates (at devices) and global …