communication cost
FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks
However, the cross-client edges naturally exist among clients.
Country:
- North America > United States > California (0.14)
- North America > United States > Pennsylvania > Allegheny County > Pittsburgh (0.04)
- Asia > China (0.04)
- (2 more...)
Technology:
- Information Technology > Security & Privacy (1.00)
- Information Technology > Data Science > Data Mining (1.00)
- Information Technology > Communications (1.00)
- (2 more...)
Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards
Each client pulls an arm and communicates with neighbors based on the graph provided by the environment.
Technology:
Country:
- North America > Canada > Quebec > Montreal (0.28)
- North America > United States > Virginia (0.04)
- North America > United States > Louisiana > Orleans Parish > New Orleans (0.04)
- (3 more...)
Technology:
Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-offs in Distributed Mean Estimation
Privacy and communication constraints are two major bottlenecks in federated learning (FL) and analytics (FA).
Country:
- North America > United States > California > Santa Clara County > Palo Alto (0.04)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
- Asia > Middle East > Jordan (0.04)
Technology:
Country:
- North America > United States > Virginia (0.05)
- North America > United States > Texas > Brazos County > College Station (0.04)
- North America > United States > Florida > Broward County > Fort Lauderdale (0.04)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
Country:
- North America > United States > Virginia (0.04)
- North America > United States > Illinois > Cook County > Chicago (0.04)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
- Africa > South Sudan > Equatoria > Central Equatoria > Juba (0.04)
Technology:
9602d22a8c791f23f8e4d1398e3fb5be-Paper-Conference.pdf
These theoretical findings are supported by experimental results.
Country:
- North America > United States > Pennsylvania (0.04)
- Europe > Russia (0.04)
- Asia > Russia (0.04)
- Asia > China > Beijing > Beijing (0.04)
Technology:
Double Quantization for Communication-Efficient Distributed Optimization
Yue Yu, Jiaxiang Wu, Longbo Huang
Modern distributed training of machine learning models often suffers from high communication overhead for synchronizing stochastic gradients and model parameters.
Country:
- Oceania > Australia > New South Wales > Sydney (0.04)
- North America > Canada (0.04)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
- Asia > China > Jiangsu Province > Nanjing (0.04)
Technology:
Technology: