A Linearly Convergent Algorithm for Decentralized Optimization: Sending Less Bits for Free!
Dmitry KovalevAnastasia KoloskovaMartin JaggiPeter RichtárikSebastian U. StichPublished in: CoRR (2020)
Keyphrases
- optimization algorithm
- optimization process
- theoretical analysis
- convex hull
- times faster
- multi agent
- computational complexity
- optimization method
- high accuracy
- learning algorithm
- experimental evaluation
- detection algorithm
- objective function
- computationally efficient
- segmentation algorithm
- linear programming
- improved algorithm
- worst case
- computational cost
- cost function
- optimization model
- search space
- preprocessing
- evolution strategy
- stochastic gradient
- recognition algorithm
- convergence rate
- particle swarm optimization
- constrained optimization
- provably convergent
- matching algorithm
- classification algorithm
- expectation maximization
- simulated annealing
- scheduling problem
- probabilistic model
- dynamic programming
- multi objective
- k means
- optimal solution
- similarity measure
- image sequences