OpenReview: A Positive Direction for Peer Review?

Citation I recently had occasion to use OpenReview as the reviewing platform for a conference. The conference was the International Conference on Learning Representations (ICLR), a core Machine Learning conference. I used it both as a reviewer and as an author. OpenReview is a platform that is distinguished by two features: It facilitates dialog between […]

Three algorithms to live by: LSTM, FedAverage, C-W

Citation We come across many algorithms in our education and work. Here I look at three relatively recent ones from the area of Machine Learning (ML), and more specifically from my vantage point of reliability and security of ML. There have been reams written on each, at various levels of technical depth. So obviously I […]

Big Data and Security: Oxymoron?

Citation Big data technologies have dramatically changed the world we live in, and in double quick time. And you know that unless you have been living under a Martian rock. We take it for granted in many of our daily interactions — in our personal lives as well as at work. Big data technologies fuel […]

Is Computing a Team Sport?

Most of us, in the field of computing, like to believe we are good team players. This seems not just the politically correct line, but also makes our work more feel more enjoyable [1]. I am encompassing in my discussion a fairly wide swath, those who are in research, both academic and industrial, in the […]

SONIC: The Serverless Data Corraller

This is a high-level view of our work on serverless computing that has just been accepted to Usenix ATC 2021, plus some historical context for why we are where we are. And a look ahead at the rich problems that we still have to tame. Ashraf Mahgoub (Purdue University), Karthick Shankar (Carnegie Mellon University), Subrata […]

Short Take: Continuous Computer Vision on Mobiles

The area of continuous computer vision algorithms that can run on mobile or embedded or edge or take your pick of resource-constrained platform, has seen a great outpouring of work. This post is a look at how this field has been marching along, seen from the eyes of a computer systems person, as opposed to […]

Computer Systems Research: The Joys, the Perils, and How to Count Beans Well

This post was first written for the ACM SIGARCH blog and appeared there on Nov 30, 2020. Thanks to Rajeev (Balasubramonian, University of Utah) for instigating this post and then guiding with helpful prods and suggestions. Citation This post is broadly meant for computer systems researchers, and that is a big tent, including members of […]