|
|
|
|
| LEADER |
01180 am a22001813u 4500 |
| 001 |
128922 |
| 042 |
|
|
|a dc
|
| 100 |
1 |
0 |
|a Zhang, Silun
|e author
|
| 100 |
1 |
0 |
|a Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
|e contributor
|
| 700 |
1 |
0 |
|a Ohlson Timoudas, Thomas
|e author
|
| 700 |
1 |
0 |
|a Dahleh, Munther A
|e author
|
| 245 |
0 |
0 |
|a Consensus with preserved privacy against neighbor collusion
|
| 260 |
|
|
|b Springer Science and Business Media LLC,
|c 2021-01-04T14:49:41Z.
|
| 856 |
|
|
|z Get fulltext
|u https://hdl.handle.net/1721.1/128922
|
| 520 |
|
|
|a This paper proposes a privacy-preserving algorithm to solve the average-consensus problem based on Shamir's secret sharing scheme, in which a network of agents reach an agreement on their states without exposing their individual states until an agreement is reached. Unlike other methods, the proposed algorithm renders the network resistant to the collusion of any given number of neighbors (even with all neighbors' colluding). Another virtue of this work is that such a method can protect the network consensus procedure from eavesdropping.
|
| 546 |
|
|
|a en
|
| 655 |
7 |
|
|a Article
|
| 773 |
|
|
|t Control Theory and Technology
|
