Interaction is necessary for distributed learning with privacy or
communication constraints

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Interaction is necessary for distributed learning with privacy or communication constraints

11 November 2019

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Papers citing "Interaction is necessary for distributed learning with privacy or communication constraints"

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Title
Private Federated Statistics in an Interactive Setting Audra McMillan O. Javidbakht Kunal Talwar Elliot Briggs Mike Chatzidakis ... Paul J. Pelzl Rehan Rishi Congzheng Song Shan Wang Shundong Zhou FedML 87 6 0 18 Nov 2022
Learning versus Refutation in Noninteractive Local Differential Privacy Alex Edmonds Aleksandar Nikolov T. Pitassi 27 0 0 26 Oct 2022
On PAC Learning Halfspaces in Non-interactive Local Privacy Model with Public Unlabeled Data Jinyan Su Jinhui Xu Di Wang 62 2 0 17 Sep 2022
Private Rank Aggregation in Central and Local Models Daniel Alabi Badih Ghazi Ravi Kumar Pasin Manurangsi FedML 53 11 0 29 Dec 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 275 421 0 14 Jul 2021
Interactive Inference under Information Constraints Jayadev Acharya C. Canonne Yuhan Liu Ziteng Sun Himanshu Tyagi 109 35 0 21 Jul 2020