Maximal Dissent: A State-Dependent Way to Agree in Distributed Convex Optimization.
Ashwin VermaMarcos M. VasconcelosUrbashi MitraBehrouz TouriPublished in: IEEE Trans. Control. Netw. Syst. (2023)
Keyphrases
- convex optimization
- state dependent
- computer mediated
- steady state
- interior point methods
- optimal policy
- arrival rate
- distributed systems
- total variation
- queueing networks
- norm minimization
- markov chain
- convex optimization problems
- queue length
- primal dual
- single server
- socio cognitive
- machine learning
- asymptotically optimal
- linear programming
- special case