Mohammad Alizadeh

research

∙ 05/23/2023

Reparo: Loss-Resilient Generative Codec for Video Conferencing

Loss of packets in video conferencing often results in poor quality and ...

0 Tianhong Li, et al. ∙

research

∙ 02/04/2023

Counterfactual Identifiability of Bijective Causal Models

We study counterfactual identifiability in causal models with bijective ...

0 Arash Nasr-Esfahany, et al. ∙

research

∙ 02/04/2023

Locally Constrained Policy Optimization for Online Reinforcement Learning in Non-Stationary Input-Driven Environments

We study online Reinforcement Learning (RL) in non-stationary input-driv...

0 Pouya Hamadanian, et al. ∙

research

∙ 12/11/2022

FactorJoin: A New Cardinality Estimation Framework for Join Queries

Cardinality estimation is one of the most fundamental and challenging pr...

0 Ziniu Wu, et al. ∙

research

∙ 09/21/2022

Gemino: Practical and Robust Neural Compression for Video Conferencing

Video conferencing systems suffer from poor user experience when network...

0 Vibhaalakshmi Sivaraman, et al. ∙

research

∙ 05/03/2022

Coded Transaction Broadcasting for High-throughput Blockchains

High-throughput blockchains require efficient transaction broadcast mech...

0 Lei Yang, et al. ∙

research

∙ 05/02/2022

Scalable Tail Latency Estimation for Data Center Networks

In this paper, we consider how to provide fast estimates of flow-level t...

0 Kevin Zhao, et al. ∙

research

∙ 02/09/2022

Optimal Congestion Control for Time-varying Wireless Links

Modern networks exhibit a high degree of variability in link rates. Cell...

0 Prateesh Goyal, et al. ∙

research

∙ 01/14/2022

Reinforcement Learning in Time-Varying Systems: an Empirical Study

Recent research has turned to Reinforcement Learning (RL) to solve chall...

13 Pouya Hamadanian, et al. ∙

research

∙ 01/05/2022

CausalSim: Unbiased Trace-Driven Network Simulation

Evaluating the real-world performance of network protocols is challengin...

3 Abdullah Alomar, et al. ∙

research

∙ 12/19/2021

Efficient Strong Scaling Through Burst Parallel Training

As emerging deep neural network (DNN) models continue to grow in size, u...

0 Seo Jin Park, et al. ∙

research

∙ 11/24/2021

Securing Proof-of-Stake Nakamoto Consensus Under Bandwidth Constraint

Satoshi Nakamoto's Proof-of-Work (PoW) longest chain (LC) protocol was a...

0 Joachim Neu, et al. ∙

research

∙ 10/13/2021

Updating Street Maps using Changes Detected in Satellite Imagery

Accurately maintaining digital street maps is labor-intensive. To addres...

0 Favyen Bastani, et al. ∙

research

∙ 10/08/2021

DispersedLedger: High-Throughput Byzantine Consensus on Variable Bandwidth Networks

The success of blockchains has sparked interest in large-scale deploymen...

0 Lei Yang, et al. ∙

research

∙ 05/25/2021

Throughput-Fairness Tradeoffs in Mobility Platforms

This paper studies the problem of allocating tasks from different custom...

0 Arjun Balasingam, et al. ∙

research

∙ 04/06/2021

Efficient Video Compression via Content-Adaptive Super-Resolution

Video compression is a critical component of Internet video delivery. Re...

0 Mehrdad Khani, et al. ∙

research

∙ 03/24/2021

TagMe: GPS-Assisted Automatic Object Annotation in Videos

Training high-accuracy object detection models requires large and divers...

0 Songtao He, et al. ∙

research

∙ 03/04/2021

The Effect of Network Topology on Credit Network Throughput

Credit networks rely on decentralized, pairwise trust relationships (cha...

0 Vibhaalakshmi Sivaraman, et al. ∙

research

∙ 03/01/2021

SWP: Microsecond Network SLOs Without Priorities

The increasing use of cloud computing for latency-sensitive applications...

0 Kevin Zhao, et al. ∙

research

∙ 01/13/2021

Flow-Loss: Learning Cardinality Estimates That Matter

Previous approaches to learned cardinality estimation have focused on im...

0 Parimarjan Negi, et al. ∙

research

∙ 12/12/2020

Cortex: Harnessing Correlations to Boost Query Performance

Databases employ indexes to filter out irrelevant records, which reduces...

0 Vikram Nathan, et al. ∙

research

∙ 11/02/2020

Site-to-Site Internet Traffic Control

Queues allow network operators to control traffic: where queues build, t...

0 Frank Cangialosi, et al. ∙

research

∙ 08/28/2020

Real-world Video Adaptation with Reinforcement Learning

Client-side video players employ adaptive bitrate (ABR) algorithms to op...

8 Hongzi Mao, et al. ∙

research

∙ 07/19/2020

Sat2Graph: Road Graph Extraction through Graph-Tensor Encoding

Inferring road graphs from satellite imagery is a challenging computer v...

18 Songtao He, et al. ∙

research

∙ 06/23/2020

Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads

Filtering data based on predicates is one of the most fundamental operat...

0 Jialin Ding, et al. ∙

research

∙ 06/11/2020

Real-Time Video Inference on Edge Devices via Adaptive Model Streaming

Real-time video inference on compute-limited edge devices like mobile ph...

5 Mehrdad Khani, et al. ∙

research

∙ 04/28/2020

Learned Garbage Collection

Several programming languages use garbage collectors (GCs) to automatica...

0 Lujing Cen, et al. ∙

research

∙ 04/08/2020

Bao: Learning to Steer Query Optimizers

Query optimization remains one of the most challenging problems in data ...

0 Ryan Marcus, et al. ∙

research

∙ 12/28/2019

RoadTagger: Robust Road Attribute Inference with Graph Neural Networks

Inferring road attributes such as lane count and road type from satellit...

10 Songtao He, et al. ∙

research

∙ 12/03/2019

Learning Multi-dimensional Indexes

Scanning and filtering over multi-dimensional tables are key operations ...

0 Vikram Nathan, et al. ∙

research

∙ 09/25/2019

Prism: Scaling Bitcoin by 10,000x

Bitcoin is the first fully decentralized permissionless blockchain proto...

0 Lei Yang, et al. ∙

research

∙ 09/22/2019

Backpressure Flow Control

Effective congestion control in a multi-tenant data center is becoming i...

0 Prateesh Goyal, et al. ∙

research

∙ 06/20/2019

Placeto: Learning Generalizable Device Placement Algorithms for Distributed Machine Learning

We present Placeto, a reinforcement learning (RL) approach to efficientl...

6 Ravichandra Addanki, et al. ∙

research

∙ 06/17/2019

Machine-Assisted Map Editing

Mapping road networks today is labor-intensive. As a result, road maps h...

10 Favyen Bastani, et al. ∙

research

∙ 06/11/2019

Adaptive Neural Signal Detection for Massive MIMO

Symbol detection for Massive Multiple-Input Multiple-Output (MIMO) is a ...

0 Mehrdad Khani, et al. ∙

research

∙ 05/09/2019

ABC: A Simple Explicit Congestion Control Protocol for Wireless Networks

We propose Accel-Brake Control (ABC), a simple and deployable explicit c...

0 Prateesh Goyal, et al. ∙

research

∙ 04/07/2019

Neo: A Learned Query Optimizer

Query optimization is one of the most challenging problems in database s...

0 Ryan Marcus, et al. ∙

research

∙ 10/03/2018

Learning Scheduling Algorithms for Data Processing Clusters

Efficiently scheduling data processing jobs on distributed compute clust...

6 Hongzi Mao, et al. ∙

research

∙ 09/13/2018

Routing Cryptocurrency with the Spider Network

With the growing usage of Bitcoin and other cryptocurrencies, many scala...

0 Vibhaalakshmi Sivaraman, et al. ∙

research

∙ 08/02/2018

Secure Incentivization for Decentralized Content Delivery

Prior research has proposed technical solutions to use peer-to-peer (P2P...

0 Prateesh Goyal, et al. ∙

research

∙ 07/06/2018

Variance Reduction for Reinforcement Learning in Input-Driven Environments

We consider reinforcement learning in input-driven environments, where a...

0 Hongzi Mao, et al. ∙

research

∙ 03/26/2018

Homa: A Receiver-Driven Low-Latency Transport Protocol Using Network Priorities

Homa is a new transport protocol for datacenter networks. It provides ex...

0 Behnam Montazeri, et al. ∙

research

∙ 02/23/2018

Elasticity Detection: A Building Block for Delay-Sensitive Congestion Control

This paper develops a technique to detect whether the cross traffic comp...

0 Prateesh Goyal, et al. ∙

research

∙ 02/14/2018

Graph2Seq: Scalable Learning Dynamics for Graphs

Neural networks have been shown to be an effective tool for learning alg...

0 Shaileshh Bojja Venkatakrishnan, et al. ∙

research

∙ 02/11/2018

Unthule: An Incremental Graph Construction Process for Robust Road Map Extraction from Aerial Images

The availability of highly accurate maps has become crucial due to the i...

0 Favyen Bastani, et al. ∙

research

∙ 02/08/2017

Flashield: a Key-value Cache that Minimizes Writes to Flash

As its price per bit drops, SSD is increasingly becoming the default sto...

0 Assaf Eisenman, et al. ∙

Mohammad Alizadeh

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