27 citations · 71 across the 26 of their papers we have counts for
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cs.LG2023★ 2 cited
Offline Reinforcement Learning with Imbalanced Datasets
Li Jiang, Sijie Cheng, Jielin Qiu +3
The prevalent use of benchmarks in current offline reinforcement learning (RL) research has led to a neglect of the imbalance of real-world dataset distributions in the development…
cs.LG2021★ 25 cited
FedGEMS: Federated Learning of Larger Server Models via Selective Knowledge Fusion
Sijie Cheng, Jingwen Wu, Yanghua Xiao +1
Today data is often scattered among billions of resource-constrained edge devices with security and privacy constraints. Federated Learning (FL) has emerged as a viable solution to…