92 citations · 144 across the 10 of their papers we have counts for
10 papers
Communication-efficient Decentralized Machine Learning over Heterogeneous Networks
Pan Zhou, Qian Lin, Dumitrel Loghin +3
In the last few years, distributed machine learning has been usually executed over heterogeneous networks such as a local area network within a multi-tenant cluster or a wide area…
MLCask: Efficient Management of Component Evolution in Collaborative Data Analytics Pipelines
Zhaojing Luo, Sai Ho Yeung, Meihui Zhang +7
With the ever-increasing adoption of machine learning for data analytics, maintaining a machine learning pipeline is becoming more complex as both the datasets and trained models e…
ForkBase: Immutable, Tamper-evident Storage Substrate for Branchable Applications
Qian Lin, Kaiyuan Yang, Tien Tuan Anh Dinh +8
Data collaboration activities typically require systematic or protocol-based coordination to be scalable. Git, an effective enabler for collaborative coding, has been attested for…
Blockchains vs. Distributed Databases: Dichotomy and Fusion
Pingcheng Ruan, Tien Tuan Anh Dinh, Dumitrel Loghin +4
Blockchain has come a long way: a system that was initially proposed specifically for cryptocurrencies is now being adapted and adopted as a general-purpose transactional system. A…
The Disruptions of 5G on Data-driven Technologies and Applications
Dumitrel Loghin, Shaofeng Cai, Gang Chen +12
With 5G on the verge of being adopted as the next mobile network, there is a need to analyze its impact on the landscape of computing and data management. In this paper, we analyze…
Overload Control for Scaling WeChat Microservices
Hao Zhou, Ming Chen, Qian Lin +6
Effective overload control for large-scale online service system is crucial for protecting the system backend from overload. Conventionally, the design of overload control is ad-ho…
Object-Level Representation Learning for Few-Shot Image Classification
Liangqu Long, Wei Wang, Jun Wen +3
Few-shot learning that trains image classifiers over few labeled examples per category is a challenging task. In this paper, we propose to exploit an additional big dataset with di…
ForkBase: An Efficient Storage Engine for Blockchain and Forkable Applications
Sheng Wang, Tien Tuan Anh Dinh, Qian Lin +7
Existing data storage systems offer a wide range of functionalities to accommodate an equally diverse range of applications. However, new classes of applications have emerged, e.g.…
Scaling Distributed Transaction Processing and Recovery based on Dependency Logging
Chang Yao, Meihui Zhang, Qian Lin +2
DGCC protocol has been shown to achieve good performance on multi-core in-memory system. However, distributed transactions complicate the dependency resolution, and therefore, an e…
UStore: A Distributed Storage With Rich Semantics
Anh Dinh, Ji Wang, Sheng Wang +9
Today's storage systems expose abstractions which are either too low-level (e.g., key-value store, raw-block store) that they require developers to re-invent the wheels, or too hig…