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05/23/2023
Reparo: Loss-Resilient Generative Codec for Video Conferencing
Loss of packets in video conferencing often results in poor quality and ...
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02/04/2023
Counterfactual Identifiability of Bijective Causal Models
We study counterfactual identifiability in causal models with bijective ...
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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...
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12/11/2022
FactorJoin: A New Cardinality Estimation Framework for Join Queries
Cardinality estimation is one of the most fundamental and challenging pr...
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09/21/2022
Gemino: Practical and Robust Neural Compression for Video Conferencing
Video conferencing systems suffer from poor user experience when network...
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05/03/2022
Coded Transaction Broadcasting for High-throughput Blockchains
High-throughput blockchains require efficient transaction broadcast mech...
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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...
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02/09/2022
Optimal Congestion Control for Time-varying Wireless Links
Modern networks exhibit a high degree of variability in link rates. Cell...
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01/14/2022
Reinforcement Learning in Time-Varying Systems: an Empirical Study
Recent research has turned to Reinforcement Learning (RL) to solve chall...
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01/05/2022
CausalSim: Unbiased Trace-Driven Network Simulation
Evaluating the real-world performance of network protocols is challengin...
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12/19/2021
Efficient Strong Scaling Through Burst Parallel Training
As emerging deep neural network (DNN) models continue to grow in size, u...
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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...
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10/13/2021
Updating Street Maps using Changes Detected in Satellite Imagery
Accurately maintaining digital street maps is labor-intensive. To addres...
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10/08/2021
DispersedLedger: High-Throughput Byzantine Consensus on Variable Bandwidth Networks
The success of blockchains has sparked interest in large-scale deploymen...
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05/25/2021
Throughput-Fairness Tradeoffs in Mobility Platforms
This paper studies the problem of allocating tasks from different custom...
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04/06/2021
Efficient Video Compression via Content-Adaptive Super-Resolution
Video compression is a critical component of Internet video delivery. Re...
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03/24/2021
TagMe: GPS-Assisted Automatic Object Annotation in Videos
Training high-accuracy object detection models requires large and divers...
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03/04/2021
The Effect of Network Topology on Credit Network Throughput
Credit networks rely on decentralized, pairwise trust relationships (cha...
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03/01/2021
SWP: Microsecond Network SLOs Without Priorities
The increasing use of cloud computing for latency-sensitive applications...
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01/13/2021
Flow-Loss: Learning Cardinality Estimates That Matter
Previous approaches to learned cardinality estimation have focused on im...
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12/12/2020
Cortex: Harnessing Correlations to Boost Query Performance
Databases employ indexes to filter out irrelevant records, which reduces...
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11/02/2020
Site-to-Site Internet Traffic Control
Queues allow network operators to control traffic: where queues build, t...
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08/28/2020
Real-world Video Adaptation with Reinforcement Learning
Client-side video players employ adaptive bitrate (ABR) algorithms to op...
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07/19/2020
Sat2Graph: Road Graph Extraction through Graph-Tensor Encoding
Inferring road graphs from satellite imagery is a challenging computer v...
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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...
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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...
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04/28/2020
Learned Garbage Collection
Several programming languages use garbage collectors (GCs) to automatica...
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04/08/2020
Bao: Learning to Steer Query Optimizers
Query optimization remains one of the most challenging problems in data ...
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12/28/2019
RoadTagger: Robust Road Attribute Inference with Graph Neural Networks
Inferring road attributes such as lane count and road type from satellit...
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12/03/2019
Learning Multi-dimensional Indexes
Scanning and filtering over multi-dimensional tables are key operations ...
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09/25/2019
Prism: Scaling Bitcoin by 10,000x
Bitcoin is the first fully decentralized permissionless blockchain proto...
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09/22/2019
Backpressure Flow Control
Effective congestion control in a multi-tenant data center is becoming i...
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06/20/2019
Placeto: Learning Generalizable Device Placement Algorithms for Distributed Machine Learning
We present Placeto, a reinforcement learning (RL) approach to efficientl...
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06/17/2019
Machine-Assisted Map Editing
Mapping road networks today is labor-intensive. As a result, road maps h...
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06/11/2019
Adaptive Neural Signal Detection for Massive MIMO
Symbol detection for Massive Multiple-Input Multiple-Output (MIMO) is a ...
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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...
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04/07/2019
Neo: A Learned Query Optimizer
Query optimization is one of the most challenging problems in database s...
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10/03/2018
Learning Scheduling Algorithms for Data Processing Clusters
Efficiently scheduling data processing jobs on distributed compute clust...
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09/13/2018
Routing Cryptocurrency with the Spider Network
With the growing usage of Bitcoin and other cryptocurrencies, many scala...
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08/02/2018
Secure Incentivization for Decentralized Content Delivery
Prior research has proposed technical solutions to use peer-to-peer (P2P...
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07/06/2018
Variance Reduction for Reinforcement Learning in Input-Driven Environments
We consider reinforcement learning in input-driven environments, where a...
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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...
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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...
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02/14/2018
Graph2Seq: Scalable Learning Dynamics for Graphs
Neural networks have been shown to be an effective tool for learning alg...
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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...
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02/08/2017