FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks.
Yuhang YaoWeizhao JinSrivatsan RaviCarlee Joe-WongPublished in: NeurIPS (2023)
Keyphrases
- computer networks
- high bandwidth
- average degree
- random walk
- recurrent networks
- graph representation
- social networks
- directed graph
- graph theory
- digital libraries
- fully connected
- dynamic networks
- communication networks
- restricted boltzmann machine
- training set
- interconnection networks
- directed edges
- graph structures
- hearing impaired
- small world
- edge weights
- weighted graph
- graph structure
- connected components
- network structure
- undirected graph
- network architecture
- graph mining
- network connectivity
- community discovery
- complex networks
- overlapping communities
- structured data
- probabilistic model