44 citations · 155 across the 38 of their papers we have counts for
8 papers · 1 filter
FlexPD: A Flexible Framework Of First-Order Primal-Dual Algorithms for Distributed Optimization
Fatemeh Mansoori, Ermin Wei
In this paper, we study the problem of minimizing a sum of convex objective functions, which are locally available to agents in a network. Distributed optimization algorithms make…
Monetizing Mobile Data via Data Rewards
Haoran Yu, Ermin Wei, Randall A. Berry
Most mobile network operators generate revenues by directly charging users for data plan subscriptions. Some operators now also offer users data rewards to incentivize them to watc…
Nested Distributed Gradient Methods with Stochastic Computation Errors
Charikleia Iakovidou, Ermin Wei
In this work, we consider the problem of a network of agents collectively minimizing a sum of convex functions. The agents in our setting can only access their local objective func…
Investment in EV charging spots for parking
Brendan Badia, Randall Berry, Ermin Wei
As demand for electric vehicles (EVs) is expanding, meeting the need for charging infrastructure, especially in urban areas, has become a critical issue. One method of adding charg…
A General Framework of Exact Primal-Dual First Order Algorithms for Distributed Optimization
Fatemeh Mansoori, Ermin Wei
We study the problem of minimizing a sum of local objective convex functions over a network of processors/agents. This problem naturally calls for distributed optimization algorith…
Nested Distributed Gradient Methods with Adaptive Quantized Communication
Albert S. Berahas, Charikleia Iakovidou, Ermin Wei
In this paper, we consider minimizing a sum of local convex objective functions in a distributed setting, where communication can be costly. We propose and analyze a class of neste…