36 citations · 80 across the 24 of their papers we have counts for
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cs.LG2023
Locally Differentially Private Distributed Online Learning with Guaranteed Optimality
Ziqin Chen, Yongqiang Wang
Distributed online learning is gaining increased traction due to its unique ability to process large-scale datasets and streaming data. To address the growing public awareness and…
cs.LG2022
Decentralized Stochastic Optimization with Inherent Privacy Protection
Yongqiang Wang, H. Vincent Poor
Decentralized stochastic optimization is the basic building block of modern collaborative machine learning, distributed estimation and control, and large-scale sensing. Since invol…