Push-LSVRG-UP: Distributed stochastic optimization over unbalanced directed networks with uncoordinated triggered probabilities
Distributed stochastic optimization, arising in the crossing and integration of traditional
stochastic optimization, distributed computing and storage, and network science, has …
stochastic optimization, distributed computing and storage, and network science, has …
Decentralized dual proximal gradient algorithms for non-smooth constrained composite optimization problems
Decentralized dual methods play significant roles in large-scale optimization, which
effectively resolve many constrained optimization problems in machine learning and power …
effectively resolve many constrained optimization problems in machine learning and power …
Distributed aggregative optimization over directed networks with column-stochasticity
This paper introduces a distributed optimization algorithm for distributed aggregative
optimization (DAO) problems on directed networks with column-stochastic matrices, referred …
optimization (DAO) problems on directed networks with column-stochastic matrices, referred …
Achieving Linear Convergence in Distributed Aggregative Optimization Over Directed Graphs
L Chen, G Wen, X Fang, J Zhou… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Distributed aggregative optimization (DAO) is a special class of optimization problems of
networking agents where the local objective function of each agent relies on the aggregation …
networking agents where the local objective function of each agent relies on the aggregation …
Distributed Momentum Based Multi-Agent Optimization with Different Constraint Sets
X Zhou, Z Ma, S Zou, K Margellos - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This paper considers a class of consensus optimization problems over a time-varying
communication network wherein each agent can only interact with its neighbours. The target …
communication network wherein each agent can only interact with its neighbours. The target …
An accelerated exact distributed first-order algorithm for optimization over directed networks
Distributed optimization over networked agents has emerged as an advanced paradigm to
address large-scale control, optimization, and signal-processing problems. In the last few …
address large-scale control, optimization, and signal-processing problems. In the last few …
(Rectified Version) Push-LSVRG-UP: Distributed Stochastic Optimization over Unbalanced Directed Networks with Uncoordinated Triggered Probabilities
J Hu, G Chen, H Li, Z Shen, W Zhang - arXiv preprint arXiv:2305.09181, 2023 - arxiv.org
Distributed stochastic optimization, arising in the crossing and integration of traditional
stochastic optimization, distributed computing and storage, and network science, has …
stochastic optimization, distributed computing and storage, and network science, has …
A distributed stochastic optimization algorithm with gradient-tracking and distributed heavy-ball acceleration
Distributed optimization has been well developed in recent years due to its wide
applications in machine learning and signal processing. In this paper, we focus on …
applications in machine learning and signal processing. In this paper, we focus on …
Distributed Composite Optimization for Multi-agent Systems with Asynchrony
Decentralized dual methods play significant roles in large-scale optimization, which
effectively resolve many constrained optimization problems in machine learning and power …
effectively resolve many constrained optimization problems in machine learning and power …