Bing Chen — accepted AI-conference papers

2025

FedRPN: An Efficient Framework for Optimizing System Heterogeneity in Federated Learning

Baolu Xue, Hanyuan Zheng, Jiale Zhang, Jiewen Liu, Bing Chen

ICASSP 2025accepted

Federated Learning (FL) enables machine learning tasks to be performed on distributed data in a privacy-preserving manner, but faces challenges related to the heterogeneity of device systems. This necessitates the customization of resource requirements to accommodate the diverse capacities of partic…

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2022

Deconvolutional Density Network: Modeling Free-Form Conditional Distributions

Bing Chen, Mazharul Islam, Jisuo Gao, Lin Wang

AAAI 2022technical

Conditional density estimation (CDE) is the task of estimating the probability of an event conditioned on some inputs. A neural network (NN) can also be used to compute the output distribution for continuous-domain, which can be viewed as an extension of regression task. Nevertheless, it is difficul…

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