44 citations · 155 across the 38 of their papers we have counts for
5 papers · 1 filter
A Decomposition Algorithm for Large-Scale Security-Constrained AC Optimal Power Flow
Frank E. Curtis, Daniel K. Molzahn, Shenyinying Tu +3
A decomposition algorithm for solving large-scale security-constrained AC optimal power flow problems is presented. The formulation considered is the one used in the ARPA-E Grid Op…
FedHybrid: A Hybrid Primal-Dual Algorithm Framework for Federated Optimization
Xiaochun Niu, Ermin Wei
We consider a multi-agent consensus optimization problem over a server-client (federated) network, where all clients are connected to a central server. Current distributed algorith…
Faithful Edge Federated Learning: Scalability and Privacy
Meng Zhang, Ermin Wei, Randall Berry
Federated learning enables machine learning algorithms to be trained over a network of multiple decentralized edge devices without requiring the exchange of local datasets. Success…
On the Convergence of NEAR-DGD for Nonconvex Optimization with Second Order Guarantees
Charikleia Iakovidou, Ermin Wei
We consider the setting where the nodes of an undirected, connected network collaborate to solve a shared objective modeled as the sum of smooth functions. We assume that each summ…
S-NEAR-DGD: A Flexible Distributed Stochastic Gradient Method for Inexact Communication
Charikleia Iakovidou, Ermin Wei
We present and analyze a stochastic distributed method (S-NEAR-DGD) that can tolerate inexact computation and inaccurate information exchange to alleviate the problems of costly gr…