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- W3199166244 abstract "We propose a new decentralized average consensus algorithm with compressed communication that scales linearly with the network size n. We prove that the proposed method converges to the average of the initial values held locally by the agents of a network when agents are allowed to communicate with compressed messages. The proposed algorithm works for a broad class of compression operators (possibly biased), where agents interact over arbitrary static, undirected, and connected networks. We further present numerical experiments that confirm our theoretical results and illustrate the scalability and communication efficiency of our algorithm." @default.
- W3199166244 created "2021-09-27" @default.
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- W3199166244 date "2022-06-08" @default.
- W3199166244 modified "2023-10-16" @default.
- W3199166244 title "Scalable Average Consensus with Compressed Communications" @default.
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- W3199166244 doi "https://doi.org/10.23919/acc53348.2022.9867351" @default.
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