Privacy Preserving Randomized Gossip Algorithms
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Abstract (arXiv)
In this work we present three different randomized gossip algorithms for solving the average consensus problem while at the same time protecting the information about the initial private values stored at the nodes. We give iteration complexity bounds for all methods, and perform extensive numerical experiments.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). First posted on arXiv 23 Jun 2017.
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Citing papers per year: 2023: 1; 2024: 1.
2 papers.
- 2024Privacy Attacks in Decentralized Learning15 Feb 2024
- 2023Towards a Better Theoretical Understanding of Independent Subnetwork Training28 Jun 2023