On Maintaining Linear Convergence of Distributed Learning and Optimization under Limited Communication.
Sindri MagnússonHossein Shokri GhadikolaeiNa LiPublished in: CoRR (2019)
Keyphrases
- distributed learning
- collaborative learning
- faster convergence
- quadratic programming
- communication bandwidth
- global convergence
- optimization problems
- convergence rate
- optimization algorithm
- highly non linear
- constrained optimization
- optimization methods
- knowledge integration
- distributed learning environments
- convergence speed
- semidefinite
- global optimization
- machine learning