Privacy-Preserving Dual Averaging with Arbitrary Initial Conditions for Distributed Optimization
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2021.3097295
Abstract: This paper considers a privacy-concerned distributed optimization problem over multi-agent networks, in which malicious agents exist and try to infer the privacy information of the normal ones. We propose a novel dual averaging algorithm which… read more here.
Keywords: initial conditions; arbitrary initial; distributed optimization; privacy ... See more keywords
Neural AILC for Error Tracking Against Arbitrary Initial Shifts
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2017.2698507
Abstract: This paper concerns with the adaptive iterative learning control using neural networks for systems performing repetitive tasks over a finite time interval. Two standing issues of such iterative learning control processes are addressed: one is… read more here.
Keywords: error; initial shifts; arbitrary initial; error tracking ... See more keywords