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20192026
most citedDReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing

21 citations · 71 across the 37 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

eess.SP2022

Task-Oriented Communication for Edge Video Analytics

Jiawei Shao, Xinjie Zhang, Jun Zhang

With the development of artificial intelligence (AI) techniques and the increasing popularity of camera-equipped devices, many edge video analytics applications are emerging, calli…

cs.DC2022

Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design

Yuchang Sun, Jiawei Shao, Yuyi Mao +2

Federated learning (FL) has achieved great success as a privacy-preserving distributed training paradigm, where many edge devices collaboratively train a machine learning model by…

cs.LG2022★ 21 cited

DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing

Jiawei Shao, Yuchang Sun, Songze Li +1

Federated learning (FL) strives to enable collaborative training of machine learning models without centrally collecting clients' private data. Different from centralized training,…

cs.LG2022★ 3 cited

Federated Learning with GAN-based Data Synthesis for Non-IID Clients

Zijian Li, Jiawei Shao, Yuyi Mao +2

Federated learning (FL) has recently emerged as a popular privacy-preserving collaborative learning paradigm. However, it suffers from the non-independent and identically distribut…

cs.LG2022

Stochastic Coded Federated Learning with Convergence and Privacy Guarantees

Yuchang Sun, Jiawei Shao, Songze Li +2

Federated learning (FL) has attracted much attention as a privacy-preserving distributed machine learning framework, where many clients collaboratively train a machine learning mod…