Unexpectedly Useful: Convergence Bounds And Real-World Distributed Learning.
Francesco MalandrinoCarla-Fabiana ChiasseriniPublished in: CoRR (2022)
Keyphrases
- distributed learning
- real world
- collaborative learning
- rates of convergence
- data mining
- knowledge integration
- lower bound
- upper bound
- distributed learning environments
- case study
- wide range
- number of iterations required
- data sets
- synthetic data
- upper and lower bounds
- lower and upper bounds
- finite sample
- worst case
- neural network
- convergence rate
- grid technology