Preserving Statistical Privacy in Distributed Optimization
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2020.3005766
Abstract: We present a distributed optimization protocol that preserves statistical privacy of agents’ local cost functions against a passive adversary that corrupts some agents in the network. The protocol is a composition of a distributed “zero-sum”… read more here.
Keywords: statistical privacy; agents local; distributed optimization; protocol ... See more keywords
Distributed Online Convex Optimization With Statistical Privacy
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2024.3492144
Abstract: We focus on the problem of distributed online constrained convex optimization with statistical privacy in multiagent systems. The participating agents aim to collaboratively minimize the cumulative system-wide cost while a passive adversary corrupts some of… read more here.
Keywords: distributed online; convex optimization; statistical privacy; privacy ... See more keywords