PPT-Differentially Private Federated Knowledge Graphs Embedding
Author : TravelingSoulmate | Published Date : 2022-08-01
Hao Peng 1 Haoran Li 2 Yangqiu Song 2 Vincent Zheng 3 Jianxin Li 1 1 Beihang University 2 Hong Kong University of Science and Technology 3 AI Group Webank
Presentation Embed Code
Download Presentation
Download Presentation The PPT/PDF document "Differentially Private Federated Knowle..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.
Differentially Private Federated Knowledge Graphs Embedding: Transcript
Hao Peng 1 Haoran Li 2 Yangqiu Song 2 Vincent Zheng 3 Jianxin Li 1 1 Beihang University 2 Hong Kong University of Science and Technology 3 AI Group Webank Co Ltd. cmuedu Abstract This paper studies privacy preserving Mestimators using perturbed histograms The proposed approach allows the release of a wide class of Mestimators with both differential privacy and statistical utility without knowing a priori the p Computer Science & Engineering. . Pennsylvania State University. New Tools for Privacy-Preserving Statistical Analysis . IBM Research . Almaden. February 23, 2015. Privacy in Statistical Databases. , flow, and cuts: an introduction. University of Washington. James R. Lee. max-flow min-cut theorem. Flow network: . Graph . G. and non-negative capacities on edges. s. t. Max-flow Min-Cut Theorem: . Identity Management (FIM). or . Identity . as a . Service (. IDaaS. ). DPS 2015 Team 1: Emerging Technologies. Lauren Clarke, Manoj Muniswamaiah, Shawn Cicoria, John Sherlock. Presentation Outline. Research Problem Shawn. Incident . Response. Jim Basney. jbasney@illinois.edu. Federated Incident Response. Motivation. Federated identity used for activities of consequence. Access to NSF cyberinfrastructure (TeraGrid, …). 1961 1958 1959 1964 1957 1955 1962 1960 1965 1963 1956 1954 Theorem2.2.ForanydatasetB,setoflinearqueriesQ,T2N,and" 0,withprobabilityatleast1 2T=jQj,MWEMproducesAsuchthatmaxq2Qjq(A) q(B)j2nr logjDj T+10TlogjQj ":Proof.Theproofofthistheoremisanintegrationofpre- of the complete graphs. and the cycle parities. Kenta Noguchi. Keio University. Japan. 2012/5/30. 1. Cycles in Graphs. Outline. Definitions. The minimum genus even . embeddings. Cycle parities. Rotation systems and current graphs. Agenda. Introduction to Excel and Financial Modeling. Key Concepts of Excel Modeling and Excel Usage. Understanding financial statements. Understanding Project Finance. Definition and Relevant industries. Yin “David” Yang . . Zhenjie. Zhang. . . Gerome . Miklau. . Prev. . Session: Marianne . Winslett. . . Xiaokui Xiao. 1. What we talked in the last session. Privacy is a major concern in data publishing. Node Differential . Privacy . Sofya. . Raskhodnikova. Penn State University. Joint work with. . . Shiva . Kasiviswanathan. . (. GE Research. ),. . Kobbi. . Nissim. . (. Ben-Gurion U. and Harvard U.. Done By. Bidhov. . Bizar,Anik. . Saha,Sarat. . Chandra,Uday. . Gulghane. E0 270 : Machine Learning. Instructor : . Ambedkar. . Dukkipati. TA : Tony. An ‘intelligent’ way of doing data . cleaning. by: R. Yang. ,. . J. Shi. ,. . X. Xiao. ,. . Y. Yang. ,. . J. Liu. ,. . and . S. . Bhowmick. Basic data analytics is easy.. Stock. Profit. Revenue. Market share. Overvalued?. Buy?. TSLA. $721m. $31B.
Download Document
Here is the link to download the presentation.
"Differentially Private Federated Knowledge Graphs Embedding"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.
Related Documents