5 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.LG2024
FedQP: Towards Accurate Federated Learning using Quadratic Programming Guided Mutation
Jiawen Weng, Zeke Xia, Ran Li +2
Due to the advantages of privacy-preserving, Federated Learning (FL) is widely used in distributed machine learning systems. However, existing FL methods suffer from low-inference…
eess.SY2024★ 5 cited
Decision-Oriented Learning for Future Power System Decision-Making under Uncertainty
Ran Li, Haipeng Zhang, Mingyang Sun +4
Better forecasts may not lead to better decision-making. To address this challenge, decision-oriented learning (DOL) has been proposed as a new branch of machine learning that repl…
eess.SY2023★ 1 cited
Adaptive Decision-Objective Loss for Forecast-then-Optimize in Power Systems
Haipeng Zhang, Ran Li, Mingyang Sun +1
Forecast-then-optimize is a widely-used framework for decision-making problems in power systems. Traditionally, statistical losses have been employed to train forecasting models, b…