The DOI matches its Crossref record, with a small difference in title or year; 23 of the 23 references it cites were found in a registry or an index.
Convergence rate for consensus with delays
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Lemma 13 ( B -step consensus contraction ). Under Assumptions 6 and 7, let B be an integer satisfying B ≥ B ⊖ and such that”
From Achieving Geometric Convergence for Distributed Optimization Over Time-Varying Graphs (2017) · cites this paper as [48]
Citations
Cites
Advances in neural information processing systems 7
Cios, K. J., & Shields, M. E. (1997) · Neurocomputing · doi:10.1016/s0925-2312(97)90018-7 · Cited by 22,093
Consensus Problems in Networks of Agents With Switching Topology and Time-Delays
Olfati-Saber, R., & Murray, R. M. (2004) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2004.834113 · Cited by 12,788 · cited 2×
“Other than the papers cited above, our paper is also related to the literature on the consensus problem and average consensus problem (a special case, where the goal is to reach a consensus on the average of the initial values of the agents); see Olfati-Saber and Murray [15], Boyd et al. [5], Xiao and Boyd [21], Moall…”
BackgroundCoordination of groups of mobile autonomous agents using nearest neighbor rules
Jadbabaie, A., Lin, J., & Morse, A. S. (2003) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2003.812781 · Cited by 8,339
Parallel and Distributed Computation: Numerical Methods
Bertsekas, D. P., & Tsitsiklis, J. N. (1989) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 5,293
Distributed Subgradient Methods for Multi-Agent Optimization
Nedic, A., & Ozdaglar, A. (2009) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2008.2009515 · Cited by 3,719
Self-citationFast linear iterations for distributed averaging
Xiao, L., & Boyd, S. (2004) · Systems & Control Letters · doi:10.1016/j.sysconle.2004.02.022 · Cited by 2,734
Distributed asynchronous deterministic and stochastic gradient optimization algorithms
Tsitsiklis, J., Bertsekas, D., & Athans, M. (1986) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1986.1104412 · Cited by 1,967
PROBLEMS IN DECENTRALIZED DECISION MAKING AND COMPUTATION
Τσιτσικλής, Ι. (1984) · doi:10.12681/eadd/3778 · Cited by 1,342
Convergence in Multiagent Coordination, Consensus, and Flocking
Blondel, V. D., Hendrickx, J. M., Olshevsky, A., & Tsitsiklis, J. N. (2006) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2005.1582620 · Cited by 861
Convergence Speed in Distributed Consensus and Averaging
Olshevsky, A., & Tsitsiklis, J. N. (2009) · SIAM Journal on Control and Optimization · doi:10.1137/060678324 · Cited by 680
Cited by
Sorted by citations
Distributed Subgradient Methods for Multi-Agent Optimization
Nedic, A., & Ozdaglar, A. (2009) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2008.2009515 · Cited by 3,719
Self-citationDistributed Optimization Over Time-Varying Directed Graphs
Nedic, A., & Olshevsky, A. (2015) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2014.2364096 · Cited by 1,187
Self-citationAchieving Geometric Convergence for Distributed Optimization Over Time-Varying Graphs
Nedić, A., Olshevsky, A., & Shi, W. (2017) · SIAM Journal on Optimization · doi:10.1137/16m1084316 · Cited by 1,069
“≥ Based on those bounds on C ij ( k ), v j ( k ), and 1 /v i ( k + 1), we can have the following equivalent arc-utilization lower bound Thus, we have where the second inequality comes from Lemma 5 of reference [48].”
BackgroundMethodInfluentialSelf-citationA survey of distributed optimization
Yang, T., Yi, X., Wu, J., Yuan, Y., Wu, D. X., Meng, Z., Hong, Y., Wang, H., Lin, Z., & Johansson, K. H. (2019) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2019.05.006 · Cited by 950
Convex Optimization in Signal Processing and Communications
Palomar, D. P., & Eldar, Y. C. (2009) · Cambridge University Press eBooks · doi:10.1017/cbo9780511804458 · Cited by 570
Metadata
- Authors
- Nedić, A., & Ozdaglar, A.
- Affiliations
- University of Illinois Urbana-Champaign (US)
- Massachusetts Institute of Technology (US)
- Corresponding author
- Nedić, Angelia
- Venue
- Journal of Global Optimization
- Published
- 2008-11-04
- Volume
- 47
- Issue
- 3
- Pages
- 437-456
- ISSN
- 0925-5001 (ISSN-L)
- 1573-2916
- OpenAlex
- W2093777540
- Cited by
- 198
- References
- 23
- Citations by year
- 2026: 3 · 2025: 9 · 2024: 10 · 2023: 13 · 2022: 4 · 2021: 13 · 2020: 13 · 2019: 14 · 2018: 16 · 2017: 14 · 2016: 8 · 2015: 14 · 2014: 15 · 2013: 12 · 2012: 12
- FWCI
- 15.33
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Journal of Global Optimization (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Distributed Control Multi-Agent Systems
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Opinion Dynamics and Social Influence
- Physical Sciences › Engineering › Control and Systems Engineering › Neural Networks Stability and Synchronization
- Keywords
- consensus algorithms, multi-agent systems, time-varying connectedness, communication delay, convergence rate, asynchronous operation, bounded delay
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
