A Learning-based Distributed Algorithm for Personalized Aggregative Optimization.
Guido CarnevaleGiuseppe NotarstefanoPublished in: CDC (2022)
Keyphrases
- learning algorithm
- optimization algorithm
- learning speed
- learning phase
- experimental evaluation
- k means
- optimal solution
- computational complexity
- search space
- cost function
- adaptive learning
- optimization process
- learning problems
- optimization method
- high accuracy
- computational cost
- active learning
- dynamic programming
- simulated annealing
- worst case
- expectation maximization
- objective function
- matching algorithm
- optimization model
- learning rules
- incremental learning
- multi objective
- neural network
- constrained optimization
- recognition algorithm
- convergence rate
- learning tasks
- semi supervised
- online learning