49 citations · 126 across the 13 of their papers we have counts for
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cs.RO2022★ 20 cited
Quantifying Demonstration Quality for Robot Learning and Generalization
Maram Sakr, Zexi Jesse Li, H. F. Machiel Van der Loos +2
Learning from Demonstration (LfD) seeks to democratize robotics by enabling diverse end-users to teach robots to perform a task by providing demonstrations. However, most LfD techn…
cs.AI2022★ 49 cited
Towards Effective Clustered Federated Learning: A Peer-to-peer Framework with Adaptive Neighbor Matching
Zexi Li, Jiaxun Lu, Shuang Luo +6
In federated learning (FL), clients may have diverse objectives, and merging all clients' knowledge into one global model will cause negative transfer to local performance. Thus, c…