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Author

Shaoduo Gan

Observed name: Gan, Shaoduo
Institution: Peking University
OpenAlex ID: A5112618683
Communication Compression for Decentralized Training
2018 · Tang, Hanlin, Gan, Shaoduo, et al. · arXiv (Cornell University) · 222
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Towards Demystifying Serverless Machine Learning Training
2021 · Jiawei Jiang, Shaoduo Gan, et al. · ACM SIGMOD International Conference on Management of Data (SIGMOD) · 131
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Few-shot Named Entity Recognition with Entity-level Prototypical Network Enhanced by Dispersedly Distributed Prototypes
2022 · Ji, Bin, Li, Shasha, et al. · arXiv (Cornell University) · 33
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Bagua
2021 · Shaoduo Gan, Jiawei Jiang, et al. · Proceedings of the VLDB Endowment · 31
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1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed
2021 · Tang, Hanlin, Gan, Shaoduo, et al. · arXiv (Cornell University) · 31
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Intrusion detection in SCADA systems by traffic periodicity and telemetry analysis
2016 · Jiexin Zhang, Shaoduo Gan, et al. · IEEE Symposium on Computers and Communications (ISCC) · 25
SqueezeAttention: 2D Management of KV-Cache in LLM Inference via Layer-wise Optimal Budget
2024 · Wang, Zihao, Cui, Bin, et al. · arXiv (Cornell University) · 21
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Decentralization Meets Quantization.
2018 · Hanlin Tang, Ce Zhang, et al. · 16
In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle
2022 · Lijie Xu, Shuang Qiu, et al. · ACM SIGMOD International Conference on Management of Data (SIGMOD) · 15
Ease. ML: A Lifecycle Management System for Machine Learning
2021 · Aguilar Melgar, Leonel, Dao, David, et al. · Repository for Publications and Research Data (ETH Zurich) · 13
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A systematic evaluation of machine learning on serverless infrastructure
2023 · Jiawei Jiang, Shaoduo Gan, et al. · The VLDB Journal · 9
APMSqueeze: A Communication Efficient Adam-Preconditioned Momentum SGD Algorithm
2020 · Tang, Hanlin, Gan, Shaoduo, et al. · arXiv (Cornell University) · 9
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AutoSci: A Memory-Centric Agentic System for the Full Scientific Research Lifecycle
2026 · Qian, Weitong, Xu, Beicheng, et al. · arXiv (Cornell University) · 8
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Stochastic gradient descent without full data shuffle: with applications to in-database machine learning and deep learning systems
2024 · Lijie Xu, Shuang Qiu, et al. · The VLDB Journal · 7
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FRuDA: Framework for Distributed Adversarial Domain Adaptation
2021 · Shaoduo Gan, Akhil Mathur, et al. · IEEE Transactions on Parallel and Distributed Systems · 7
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Ease.ML: A Lifecycle Management System for MLDev and MLOps
2021 · Leonel Aguilar, David Dao, et al. · Conference on Innovative Data Systems Research · 4
ERPC: An Edge-Resources Based Framework to Reduce Bandwidth Cost in the Personal Cloud
2016 · Shaoduo Gan, Jie Yu, et al. · Lecture notes in computer science · 3
Echo: Decoupling Inference and Training for Large-Scale RL Alignment on Heterogeneous Swarms
2025 · Xiao, Jie, Fan, Changyuan, et al. · arXiv (Cornell University) · 1
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Understanding long-term trends of DHT networks
2016 · Jie Yu, Shasha Li, et al. · International Conference on Computer Science and Network Technology (ICCSNT) · 1
A novel optimization scheme for caching in locality-aware P2P networks
2016 · Shaoduo Gan, Jiexin Zhang, et al. · IEEE Symposium on Computers and Communications (ISCC) · 1
Scaling Unsupervised Domain Adaptation through Optimal Collaborator Selection and Lazy Discriminator Synchronization
2021 · Akhil Mathur, Shaoduo Gan, et al.
Multi-Step Decentralized Domain Adaptation
2019 · Akhil Mathur, Shaoduo Gan, et al.
Works count: 24
Citation count: 588
H-index: 10
I10-index: 10
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