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09/03/2023
FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs
The rapid growth of memory and computation requirements of large languag...
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08/30/2023
AI-powered Fraud Detection in Decentralized Finance: A Project Life Cycle Perspective
In recent years, blockchain technology has introduced decentralized fina...
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08/29/2023
OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams
How to get insights from relational data streams in a timely manner is a...
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07/05/2023
VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks
Vertical Federated Learning (VFL) is a crucial paradigm for training mac...
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04/14/2023
LightRW: FPGA Accelerated Graph Dynamic Random Walks
Graph dynamic random walks (GDRWs) have recently emerged as a powerful p...
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03/29/2023
BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection
As various forms of fraud proliferate on Ethereum, it is imperative to s...
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11/21/2022
HARL: Hierarchical Adaptive Reinforcement Learning Based Auto Scheduler for Neural Networks
To efficiently perform inference with neural networks, the underlying te...
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08/13/2022
Practical Vertical Federated Learning with Unsupervised Representation Learning
As societal concerns on data privacy recently increase, we have witnesse...
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04/21/2022
Sequence-Based Target Coin Prediction for Cryptocurrency Pump-and-Dump
As the pump-and-dump schemes (P Ds) proliferate in the cryptocurrency ...
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03/14/2022
An In-Depth Study of Continuous Subgraph Matching (Complete Version)
Continuous subgraph matching (CSM) algorithms find the occurrences of a ...
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03/05/2022
ReGraph: Scaling Graph Processing on HBM-enabled FPGAs with Heterogeneous Pipelines
The use of FPGAs for efficient graph processing has attracted significan...
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01/10/2022
A Simulation Platform for Multi-tenant Machine Learning Services on Thousands of GPUs
Multi-tenant machine learning services have become emerging data-intensi...
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12/24/2021
The Serverless Computing Survey: A Technical Primer for Design Architecture
The development of cloud infrastructures inspires the emergence of cloud...
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07/26/2021
ThunderRW: An In-Memory Graph Random Walk Engine (Complete Version)
As random walk is a powerful tool in many graph processing, mining and l...
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06/11/2021
Exploiting Record Similarity for Practical Vertical Federated Learning
As the privacy of machine learning has drawn increasing attention, feder...
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05/20/2021
ThundeRiNG: Generating Multiple Independent Random Number Sequences on FPGAs
In this paper, we propose ThundeRiNG, a resource-efficient and high-thro...
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05/10/2021
Skew-Oblivious Data Routing for Data-Intensive Applications on FPGAs with HLS
FPGAs have become emerging computing infrastructures for accelerating ap...
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03/30/2021
Model-Contrastive Federated Learning
Federated learning enables multiple parties to collaboratively train a m...
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03/27/2021
Cache-Efficient Fork-Processing Patterns on Large Graphs
As large graph processing emerges, we observe a costly fork-processing p...
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03/20/2021
PathEnum: Towards Real-Time Hop-Constrained s-t Path Enumeration
We study the hop-constrained s-t path enumeration (HcPE) problem, which ...
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02/19/2021
TransMask: A Compact and Fast Speech Separation Model Based on Transformer
Speech separation is an important problem in speech processing, which ta...
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02/03/2021
Federated Learning on Non-IID Data Silos: An Experimental Study
Machine learning services have been emerging in many data-intensive appl...
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01/23/2021
DBL: Efficient Reachability Queries on Dynamic Graphs (Complete Version)
Reachability query is a fundamental problem on graphs, which has been ex...
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10/24/2020
GAZEV: GAN-Based Zero-Shot Voice Conversion over Non-parallel Speech Corpus
Non-parallel many-to-many voice conversion is recently attract-ing huge ...
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10/09/2020
A Survey of Non-Volatile Main Memory Technologies: State-of-the-Arts, Practices, and Future Directions
Non-Volatile Main Memories (NVMMs) have recently emerged as promising te...
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10/02/2020
Model-Agnostic Round-Optimal Federated Learning via Knowledge Transfer
Federated learning enables multiple parties to collaboratively learn a m...
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06/14/2020
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems
This paper presents and characterizes an Open Application Repository for...
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01/16/2020
Hardware-Conscious Stream Processing: A Survey
Data stream processing systems (DSPSs) enable users to express and run s...
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11/11/2019
Privacy-Preserving Gradient Boosting Decision Trees
The Gradient Boosting Decision Tree (GBDT) is a popular machine learning...
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11/11/2019
Practical Federated Gradient Boosting Decision Trees
Gradient Boosting Decision Trees (GBDTs) have become very successful in ...
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11/08/2019
Adaptive Kernel Value Caching for SVM Training
Support Vector Machines (SVMs) can solve structured multi-output learnin...
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07/23/2019
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
Federated learning has been a hot research area in enabling the collabor...
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07/23/2019
Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
Federated learning systems enable the collaborative training of machine ...
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04/08/2019
Scaling Stream Processing with Transactional State Management on Multicores
Transactional state management relieves users from managing state consis...
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04/07/2019
BriskStream: Scaling Data Stream Processing on Shared-Memory Multicore Architectures
We introduce BriskStream, an in-memory data stream processing system (DS...
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02/26/2019
A Survey on Graph Processing Accelerators: Challenges and Opportunities
Graph is a well known data structure to represent the associated relatio...
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02/19/2019
Efficient Memory Management for GPU-based Deep Learning Systems
GPU (graphics processing unit) has been used for many data-intensive app...
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11/18/2018
A Survey on Spark Ecosystem for Big Data Processing
With the explosive increase of big data in industry and academic fields,...
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09/19/2014
