Linqi Song

Live Gradient Compensation for Evading Stragglers in Distributed Learning

2021

The training efficiency of distributed learning systems is vulnerable to stragglers, namely, those slow worker nodes. A naive strategy is performing the distributed learning by incor-porating the fastest K workers and ignoring these stragglers, which …

Privacy-Preserving Communication-Efficient Federated Multi-Armed Bandits

2022 · IEEE Journal on Selected Areas in Communications

Communication bottleneck and data privacy are two critical concerns in federated multi-armed bandit (MAB) problems, such as situations in decision-making and recommendations of connected vehicles via wireless. In this paper, we design the privacy-preserving communication-efficient …