Explore the latest research from Facebook

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June 6, 2021 Panagiotis Tzirakis, Anurag Kumar, Jacob Donley
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Multi-Channel Speech Enhancement Using Graph Neural Networks

In this paper, we introduce a different research direction by viewing each audio channel as a node lying in a non-Euclidean space and, specifically, a graph.
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April 12, 2021 Anubhavnidhi Abhashkumar, Kausik Subramanian, Alexey Andreyev, Hyojeong Kim, Nanda Kishore Salem, Jingyi Yang, Petr Lapukhov, Aditya Akella, James Hongyi Zeng
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Running BGP in Data Centers at Scale

In this paper, we present Facebook’s BGP-based data center routing design and how it marries data center’s stringent requirements with BGP’s functionality. We present the design’s significant artifacts, including the BGP Autonomous System Number (ASN) allocation, route summarization, and our sophisticated BGP policy set.
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March 31, 2021 Christian Kroer, Nicolas E. Stier-Moses
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Market Equilibrium Models in Large-Scale Internet Markets

We focus on Internet advertising auctions, fair division problems, content recommendation systems, and robust abstractions of large-scale markets.
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March 13, 2021 Edward J. Oughton, William Lehr, Konstantinos Katsaros, Ioannis Selinis, Dean Bubley, Julius Kusuma
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Revisiting Wireless Internet Connectivity: 5G vs Wi-Fi 6

In recent years, significant attention has been directed toward the fifth generation of wireless broadband connectivity known as ‘5G’, currently being deployed by Mobile Network Operators. Surprisingly, there has been considerably less attention paid to ‘Wi-Fi 6’, the new IEEE 802.1ax standard in the family of Wireless Local Area Network technologies with features targeting private, edge-networks. This paper revisits the suitability of cellular and Wi-Fi in delivering high-speed wireless Internet connectivity.
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March 8, 2021 Fernanda de Lima Alcantara
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Diverse and inclusive representation in online advertising: An exploration of the current landscape and people’s expectations

Although there have been numerous studies about underrepresentation and misrepresentation of people in advertising, most have focused on traditional channels such as television, print, and radio, rather than on digital channels. In this paper, we seek to contribute to the body of knowledge by utilizing a mix of quantitative and qualitative methods to explore people’s attitudes toward diversity in online advertising, the current state of representation, and the impact of diversity on digital campaign performance.
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March 5, 2021 John Ahlgren, Maria Eugenia Berezin, Kinga Bojarczuk, Elena Dulskyte, Inna Dvortsova, Johann George, Natalija Gucevska, Mark Harman, Maria Lomeli, Erik Meijer, Silvia Sapora, Justin Spahr-Summers
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Testing Web Enabled Simulation at Scale Using Metamorphic Testing

We report on Facebook’s deployment of MIA (Metamorphic Interaction Automaton). MIA is used to test Facebook’s Web Enabled Simulation, built on a web infrastructure of hundreds of millions of lines of code.
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March 3, 2021 Maksim Panchenko, Rafael Auler, Laith Sakka, Guilherme Ottoni
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Lightning BOLT: Powerful, Fast, and Scalable Binary Optimization

Profile-guided binary optimization has proved to be an important technology to achieve peak performance, particularly for large-scale binaries that are typical for data-center applications. By applying the profile data at the same representation where sampling-based profiling is collected, binary optimizers can provide double-digit speedups over binaries compiled with profile-guided optimizations using similarly collected profile data.
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March 1, 2021 Guilherme Ottoni, Bin Liu
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HHVM Jump-Start: Boosting Both Warmup and Steady-State Performance at Scale

This paper presents the Jump-Start mechanism implemented inside the HipHop Virtual Machine (HHVM). Jump-Start is a practical approach to share VM profile data at a large scale, being used to power one of the largest websites in the world.
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February 23, 2021 Satadru Pan, Theano Stavrinos, Yunqiao Zhang, Atul Sikaria, Pavel Zakharov, Abhinav Sharma, Shiva Shankar, Mike Shuey, Richard Wareing, Monika Gangapuram, Guanglei Cao, Christian Preseau, Pratap Singh, Kestutis Patiejunas, JR Tipton, Ethan Katz-Bassett, Wyatt Lloyd
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Facebook’s Tectonic Filesystem: Efficiency from Exascale

This paper describes Tectonic’s design, explaining how it achieves scalability, supports multitenancy, and allows tenants to specialize operations to optimize for diverse workloads. The paper also presents insights from designing, deploying, and operating Tectonic.
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February 22, 2021 Jeremiah Onaolapo, Nektarios Leontiadis, Despoina Magka, Gianluca Stringhini
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SocialHEISTing: Understanding Stolen Facebook Accounts

To understand the effects of demographic attributes on attacker behavior in stolen social accounts, we devised a method to instrument and monitor such accounts. We then created, instrumented, and deployed more than 1000 Facebook accounts, and exposed them to criminals.
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