308 citations · 354 across the 7 of their papers we have counts for
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cs.LG2020★ 1 cited
A Unified Linear Speedup Analysis of Federated Averaging and Nesterov FedAvg
Zhaonan Qu, Kaixiang Lin, Zhaojian Li +2
Federated learning (FL) learns a model jointly from a set of participating devices without sharing each other's privately held data. The characteristics of non-i.i.d. data across t…
cs.LG2020★ 11 cited
Learning Sparse Rewarded Tasks from Sub-Optimal Demonstrations
Zhuangdi Zhu, Kaixiang Lin, Bo Dai +1
Model-free deep reinforcement learning (RL) has demonstrated its superiority on many complex sequential decision-making problems. However, heavy dependence on dense rewards and hig…