"Network for AI: Communication-Efficient Federated Learning with MST-based ..."

Ruikun Wang et al. (2024)

> Home

Details and statistics

DOI: —

access: closed

type: Conference or Workshop Paper

metadata version: 2024-06-06

- view
  - electronic edition @ ieee.org
- export record
  dblp key:
  - conf/ofc/WangZIGXMTJ24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/ofc/WangZIGXMTJ24
Ruikun Wang, Jiawei Zhang, Memedhe Ibrahimi, Zhiqun Gu, Yuming Xiao, Francesco Musumeci, Massimo Tornatore, Yuefeng Ji:
Network for AI: Communication-Efficient Federated Learning with MST-based Scheduling and Multi-Aggregation over Optical Networks. OFC 2024: 1-3

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.