4 citations · 5 across the 4 of their papers we have counts for
4 papers
FedSysID: A Federated Approach to Sample-Efficient System Identification
Han Wang, Leonardo F. Toso, James Anderson
We study the problem of learning a linear system model from the observations of clients. The catch: Each client is observing data from a different dynamical system. This work a…
Mitigation-Aware Bidding Strategies in Electricity Markets
Yiqian Wu, Jip Kim, James Anderson
Market power exercise in the electricity markets distorts market prices and diminishes social welfare. Many markets have implemented market power mitigation processes to eliminate…
Distributionally Robust Decision Making Leveraging Conditional Distributions
Yuxiao Chen, Jip Kim, James Anderson
Distributionally robust optimization (DRO) is a powerful tool for decision making under uncertainty. It is particularly appealing because of its ability to leverage existing data.…
FedADMM: A Federated Primal-Dual Algorithm Allowing Partial Participation
Han Wang, Siddartha Marella, James Anderson
Federated learning is a framework for distributed optimization that places emphasis on communication efficiency. In particular, it follows a client-server broadcast model and is pa…