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Found 5 papers, 0 papers with code
Elastically-Constrained Meta-Learner for Federated Learning
One of the challenges in federated learning is non-IID data between clients, as a single model can not fit the data distribution for all clients.
A Computational Efficient Pumped Storage Hydro Optimization in the Look-ahead Unit Commitment and Real-time Market Dispatch Under Uncertainty
To provide a practical solution to the daily operation of a PSHU in a single day look-ahead commitment (LAC) and real-time market, this paper proposes two pumped storage hydro (PSH) models that only use probabilistic price forecast to incorporate uncertainties and manage risks in the LAC and real-time market operation.
Towards Comprehensive Testing on the Robustness of Cooperative Multi-agent Reinforcement Learning
To overcome the challenge, we propose MARLSafe, the first robustness testing framework for c-MARL algorithms.
SDOD:Real-time Segmenting and Detecting 3D Object by Depth
We produce an instance mask by assigning pixels which have the same depth categories to each instance.
adaptive direction information in differential evolution for numerical optimization
In most of the DE algorithms, the neighborhood and direction information are not fully and simultaneously exploited to guide the search.
