Type
Conference PaperKAUST Department
Computer Science ProgramComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Date
2019-04-17Preprint Posting Date
2018-10-31Online Publication Date
2019-04-17Print Publication Date
2019-05Permanent link to this record
http://hdl.handle.net/10754/653117
Metadata
Show full item recordAbstract
In this work we present novel provably accelerated gossip algorithms for solving the average consensus problem. The proposed protocols are inspired from the recently developed accelerated variants of the randomized Kaczmarz method - a popular method for solving linear systems. In each gossip iteration all nodes of the network update their values but only a pair of them exchange their private information. Numerical experiments on popular wireless sensor networks showing the benefits of our protocols are also presented.Citation
Loizou, N., Rabbat, M., & Richtarik, P. (2019). Provably Accelerated Randomized Gossip Algorithms. ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). doi:10.1109/icassp.2019.8683847Conference/Event name
44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019arXiv
1810.13084Additional Links
https://ieeexplore.ieee.org/document/8683847/ae974a485f413a2113503eed53cd6c53
10.1109/ICASSP.2019.8683847