default search action
Bo Li 0001
- > Home > Persons > Bo Li 0001
Publications
- 2025
- [j217]Peng Ye
, Zhifeng Jiang
, Wei Wang
, Bo Li
, Baochun Li
:
Feature Reconstruction Attacks and Countermeasures of DNN Training in Vertical Federated Learning. IEEE Trans. Dependable Secur. Comput. 22(3): 2659-2669 (2025) - [j216]Yuqing Li
, Nan Yan
, Jing Chen
, Xiong Wang
, Jianan Hong
, Kun He
, Wei Wang
, Bo Li
:
FedPHE: A Secure and Efficient Federated Learning via Packed Homomorphic Encryption. IEEE Trans. Dependable Secur. Comput. 22(5): 5448-5463 (2025) - 2024
- [j201]Shijie Zhang
, Jiang Xiao
, Enping Wu
, Feng Cheng
, Bo Li
, Wei Wang
, Hai Jin
:
MorphDAG: A Workload-Aware Elastic DAG-Based Blockchain. IEEE Trans. Knowl. Data Eng. 36(10): 5249-5264 (2024) - [j196]Chen Chen
, Hong Xu
, Wei Wang
, Baochun Li
, Bo Li
, Li Chen
, Gong Zhang
:
Synchronize Only the Immature Parameters: Communication-Efficient Federated Learning By Freezing Parameters Adaptively. IEEE Trans. Parallel Distributed Syst. 35(7): 1155-1173 (2024) - [c232]Bo Li, Wei Wang, Peng Ye:
Improved Bounds for Pure Private Agnostic Learning: Item-Level and User-Level Privacy. ICML 2024 - [c223]Bo Li, Wei Wang, Peng Ye:
The Limits of Differential Privacy in Online Learning. NeurIPS 2024 - [c221]Zhifeng Jiang, Peng Ye, Shiqi He, Wei Wang, Ruichuan Chen, Bo Li:
Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning. USENIX Security Symposium 2024 - [i35]Zhifeng Jiang, Peng Ye, Shiqi He, Wei Wang, Ruichuan Chen, Bo Li:
Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning. CoRR abs/2401.02880 (2024) - 2023
- [j195]Chen Chen
, Hong Xu, Wei Wang
, Baochun Li
, Bo Li
, Li Chen
, Gong Zhang
:
GIFT: Toward Accurate and Efficient Federated Learning With Gradient-Instructed Frequency Tuning. IEEE J. Sel. Areas Commun. 41(4): 902-914 (2023) - [j193]Zhifeng Jiang
, Wei Wang
, Bo Li
, Qiang Yang:
Towards Efficient Synchronous Federated Training: A Survey on System Optimization Strategies. IEEE Trans. Big Data 9(2): 437-454 (2023) - [j192]Chen Chen
, Qizhen Weng
, Wei Wang
, Baochun Li
, Bo Li
:
Accelerating Distributed Learning in Non-Dedicated Environments. IEEE Trans. Cloud Comput. 11(1): 515-531 (2023) - [j191]Lin Zhang
, Shaohuai Shi
, Wei Wang
, Bo Li
:
Scalable K-FAC Training for Deep Neural Networks With Distributed Preconditioning. IEEE Trans. Cloud Comput. 11(3): 2365-2378 (2023) - [c217]Lin Zhang, Shaohuai Shi
, Xiaowen Chu, Wei Wang, Bo Li, Chengjian Liu:
DeAR: Accelerating Distributed Deep Learning with Fine-Grained All-Reduce Pipelining. ICDCS 2023: 142-153 - [i28]Lin Zhang, Shaohuai Shi, Xiaowen Chu, Wei Wang, Bo Li, Chengjian Liu:
Decoupling the All-Reduce Primitive for Accelerating Distributed Deep Learning. CoRR abs/2302.12445 (2023) - 2022
- [j177]Xiaowen Chu
, Hongbo Jiang, Bo Li, Dan Wang
, Wei Wang:
Editorial: Advances in Mobile, Edge and Cloud Computing. Mob. Networks Appl. 27(1): 219-221 (2022) - [c202]Zhifeng Jiang
, Wei Wang, Baochun Li, Bo Li:
Pisces: efficient federated learning via guided asynchronous training. SoCC 2022: 370-385 - [i18]Zhifeng Jiang, Wei Wang, Baochun Li, Bo Li:
Pisces: Efficient Federated Learning via Guided Asynchronous Training. CoRR abs/2206.09264 (2022) - [i17]Lin Zhang, Shaohuai Shi, Wei Wang, Bo Li:
Scalable K-FAC Training for Deep Neural Networks with Distributed Preconditioning. CoRR abs/2206.15143 (2022) - [i15]Peng Ye, Zhifeng Jiang, Wei Wang, Bo Li, Baochun Li:
Feature Reconstruction Attacks and Countermeasures of DNN training in Vertical Federated Learning. CoRR abs/2210.06771 (2022) - 2021
- [j167]Shaohuai Shi, Zhenheng Tang, Xiaowen Chu
, Chengjian Liu, Wei Wang, Bo Li:
A Quantitative Survey of Communication Optimizations in Distributed Deep Learning. IEEE Netw. 35(3): 230-237 (2021) - [c193]Suyi Li, Luping Wang, Wei Wang, Yinghao Yu, Bo Li:
George: Learning to Place Long-Lived Containers in Large Clusters with Operation Constraints. SoCC 2021: 258-272 - [c192]Luping Wang, Lingyun Yang
, Yinghao Yu, Wei Wang, Bo Li, Xianchao Sun, Jian He
, Liping Zhang:
Morphling: Fast, Near-Optimal Auto-Configuration for Cloud-Native Model Serving. SoCC 2021: 639-653 - [c190]Chen Chen, Hong Xu, Wei Wang, Baochun Li, Bo Li, Li Chen, Gong Zhang:
Communication-Efficient Federated Learning with Adaptive Parameter Freezing. ICDCS 2021: 1-11 - [c189]Minchen Yu, Zhifeng Jiang
, Hok Chun Ng, Wei Wang, Ruichuan Chen, Bo Li:
Gillis: Serving Large Neural Networks in Serverless Functions with Automatic Model Partitioning. ICDCS 2021: 138-148 - 2020
- [c182]Chen Chen, Qizhen Weng
, Wei Wang, Baochun Li, Bo Li:
Semi-dynamic load balancing: efficient distributed learning in non-dedicated environments. SoCC 2020: 431-446 - [c177]Luping Wang, Qizhen Weng
, Wei Wang, Chen Chen, Bo Li:
Metis: learning to schedule long-running applications in shared container clusters at scale. SC 2020: 68 - [e1]Xiaowen Chu, Hongbo Jiang, Bo Li, Dan Wang, Wei Wang:
Quality, Reliability, Security and Robustness in Heterogeneous Systems - 15th EAI International Conference, QShine 2019, Shenzhen, China, November 22-23, 2019, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 300, Springer 2020, ISBN 978-3-030-38818-8 [contents] - [i10]Zhenheng Tang, Shaohuai Shi, Xiaowen Chu, Wei Wang, Bo Li:
Communication-Efficient Distributed Deep Learning: A Comprehensive Survey. CoRR abs/2003.06307 (2020) - [i9]Shaohuai Shi, Zhenheng Tang, Xiaowen Chu, Chengjian Liu, Wei Wang, Bo Li:
Communication-Efficient Distributed Deep Learning: Survey, Evaluation, and Challenges. CoRR abs/2005.13247 (2020) - 2019
- [c176]Luping Wang, Wei Wang, Bo Li:
CMFL: Mitigating Communication Overhead for Federated Learning. ICDCS 2019: 954-964 - [c173]Chen Chen, Wei Wang, Bo Li:
Round-Robin Synchronization: Mitigating Communication Bottlenecks in Parameter Servers. INFOCOM 2019: 532-540 - 2018
- [c172]Chen Chen, Qizhen Weng
, Wei Wang, Baochun Li, Bo Li:
Fast Distributed Deep Learning via Worker-adaptive Batch Sizing. SoCC 2018: 521 - [c171]Yuechen Tao, Jingjie Jiang, Shiyao Ma, Luping Wang, Wei Wang
, Bo Li:
Unraveling the RTT-fairness Problem for BBR: A Queueing Model. GLOBECOM 2018: 1-6 - [c169]Chen Chen, Wei Wang
, Bo Li:
Performance-Aware Fair Scheduling: Exploiting Demand Elasticity of Data Analytics Jobs. INFOCOM 2018: 504-512 - [c168]Luping Wang, Wei Wang
, Bo Li:
Utopia: Near-optimal Coflow Scheduling with Isolation Guarantee. INFOCOM 2018: 891-899 - [i5]Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, Bo Li:
Fast Distributed Deep Learning via Worker-adaptive Batch Sizing. CoRR abs/1806.02508 (2018) - 2017
- [c166]Luping Wang, Wei Wang, Bo Li:
Towards Online Checkpointing Mechanism for Cloud Transient Servers. GLOBECOM 2017: 1-6 - [c161]Chen Chen, Wei Wang
, Bo Li:
Speculative Slot Reservation: Enforcing Service Isolation for Dependent Data-Parallel Computations. ICDCS 2017: 549-559 - [c159]Chen Chen, Wei Wang
, Shengkai Zhang
, Bo Li:
Cluster fair queueing: Speeding up data-parallel jobs with delay guarantees. INFOCOM 2017: 1-9 - [c157]Wei Wang
, Shiyao Ma, Bo Li, Baochun Li:
Coflex: Navigating the fairness-efficiency tradeoff for coflow scheduling. INFOCOM 2017: 1-9 - [i2]Shiyao Ma, Jingjie Jiang, Wei Wang, Bo Li:
Towards RTT Fairness of Congestion-Based Congestion Control. CoRR abs/1706.09115 (2017)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-11-14 22:39 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint