640 citations · 685 across the 10 of their papers we have counts for
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cs.LG2022
Data-Driven Offline Decision-Making via Invariant Representation Learning
Han Qi, Yi Su, Aviral Kumar +1
The goal in offline data-driven decision-making is synthesize decisions that optimize a black-box utility function, using a previously-collected static dataset, with no active inte…
cs.LG2022★ 1 cited
Efficient Image Representation Learning with Federated Sampled Softmax
Sagar M. Waghmare, Hang Qi, Huizhong Chen +2
Learning image representations on decentralized data can bring many benefits in cases where data cannot be aggregated across data silos. Softmax cross entropy loss is highly effect…
cs.LG2022★ 8 cited
FedLite: A Scalable Approach for Federated Learning on Resource-constrained Clients
Jianyu Wang, Hang Qi, Ankit Singh Rawat +4
In classical federated learning, the clients contribute to the overall training by communicating local updates for the underlying model on their private data to a coordinating serv…