Decentralized Stochastic Optimization With Random Attendance
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3179331
Abstract: We design a decentralized stochastic optimization algorithm for machine-to-machine (M2M) networks, in which machines in the networks can attend the optimization process in a randomly-unexpected manner. This property of random attendance aims at capturing unexpected… read more here.
Keywords: random attendance; optimization; decentralized stochastic; stochastic optimization ... See more keywords