Figure 1: An example of federated learning for the task of next-word prediction on mobile phones. Devices communicate with a central server periodically to learn a global model. Federated learning helps preserve user privacy and reduce strain on the network by keeping data localized. What is federated learning? How does it differ from traditional large-scale machine learning, distributed optimizat
In-Memory Databases S. Harizopoulos, et al., OLTP Through the Looking Glass, and What We Found There, in SIGMOD, 2008 H. Garcia-Molina, et al., Main Memory Database Systems: An Overview, in IEEE Trans. on Knowl. and Data Eng., 1992 (Optional) D.J. DeWitt, et al., Implementation Techniques for Main Memory Database Systems, in SIGMOD, 1984 (Optional) Query Compilation T. Neumann, Efficiently Compili
研究留学 Advent Calender 2017 の19日目です。特にこれといったテーマも思いつかなかったので、エッセイ的に書きます。 テンプレ いついったか:2014年4月から2015年3月 どこに行ったか:カーネギーメロン大学の Christos Faloutsos 教授のところ(ペンシルベニア州ピッツバーグ) 何をやったか:ソーシャルデータとかグラフデータに対するデータマイニングの研究 どうやって行ったか:出身研究室の教授の紹介(つまりコネ) 行くまで(だけ)が辛かった Dとった直後に行くことが決まっていたので、博論を書きつつビザ取得とか家探しとかの留学準備をしなくちゃいけなくて、さらにちょうどその時期に結婚したのでその辺の諸々も含めすべて同時にこなさなきゃいけなくてそれはそれは辛かった。人生の節目となるイベントを2つ以上同時にこなすのはやめたほうが良い! ピッツバーグで暮らす ピ
Currently, I am an Associate Professor at the School of Intelligent Systems Engineering, Sun Yat-sen University. Before that, I was a Project Scientist in Machine Learning Department, Carnegie Mellon University, working with Prof. Eric P. Xing. I obtained my Ph.D. degree in the School of Data and Computer Science at Sun Yat-sen University in June 2016, advised by Prof. Liang Lin. I was a visiting
Currently, I am an Associate Professor at the School of Intelligent Systems Engineering, Sun Yat-sen University. Before that, I was a Project Scientist in Machine Learning Department, Carnegie Mellon University, working with Prof. Eric P. Xing. I obtained my Ph.D. degree in the School of Data and Computer Science at Sun Yat-sen University in June 2016, advised by Prof. Liang Lin. I was a visiting
The talks at the Deep Learning School on September 24/25, 2016 were amazing. I clipped out individual talks from the full live streams and provided links to each below in case that's useful for people who want to watch specific talks several times (like I do). Please check out the official website (http://www.bayareadlschool.org) and full live streams below. Having read, watched, and presented d
ここに書くことによって途中でやめられなくするメソッドです。 ハッカーニュースを眺めていたら以下のようなCS系講義動画のまとめリポジトリが流れていました。 GitHub - Developer-Y/cs-video-courses: List of Computer Science courses with video lectures. へーっと思いながら何個かポチってみたところ以下に出くわしました。 15721.courses.cs.cmu.edu 英語が(自分にとって)聞き取りやすく、動画の品質(画質やスライドがちゃんと見えるかどうかといった部分)も良いものでかつ興味のある内容で出来ればスライドもおしゃれで・・・となるとなかなか少ないですが、これはかなり見やすいです。 スライドも概念図が頻繁に登場したりして、これだけでも聞き取れなかった部分などをかなり補完できます。 スケジュールページ
VP, Distinguished Scientist Amazon Web Services Machine Learning 2100 University Avenue Palo Alto, CA 94303 USA email: News I joined Amazon Web Services in July 16, 2016 and am now VP / Distinguished Scientist for Machine Learning. We are building exciting tools for data scientists, computer vision, NLP, deep learning and beyond. For classes in Machine Learning check out my lectures. I am currentl
The MSCV degree prepares students for industry work in a career related to computer vision. The 16-month program features a full-time graduate level course load. Students enrolled in the MSCV program will have access to world-class computer vision facilities and a comprehensive list of courses offered by the faculty. The courses are the focus of the program, complemented by a culminating experienc
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