Constrained Consensus and Optimization in Multi-Agent Networks
We present distributed algorithms that can be used by multiple agents to align their estimates with a particular value over a network with time-varying connectivity. Our framework is general in that this value can represent a consensus value among multiple agents or an optimal solution of an optimiz...
Main Authors: | Nedic, Angelia, Ozdaglar, Asuman E., Parrilo, Pablo A. |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
Format: | Article |
Language: | en_US |
Published: |
Institute of Electrical and Electronics Engineers
2011
|
Online Access: | http://hdl.handle.net/1721.1/62224 https://orcid.org/0000-0002-1827-1285 https://orcid.org/0000-0003-1132-8477 |
Similar Items
-
Pseudonormality and a language multiplier theory for constrained optimization
by: Ozdaglar, Asuman E
Published: (2005) -
On Distributed Averaging Algorithms and Quantization Effects
by: Tsitsiklis, John N., et al.
Published: (2010) -
Escaping saddle points in constrained optimization
by: Mokhtari, Aryan, et al.
Published: (2019) -
Distributed multi-agent optimization with state-dependent communication
by: Lobel, Ilan, et al.
Published: (2012) -
Near-Optimal Power Control in Wireless Networks: A Potential Game Approach
by: Candogan, Utku Ozan, et al.
Published: (2011)