Communication-efficient k-means for Edge-based machine learning
- Hanlin Lu
- Ting He
- et al.
- 2020
- ICDCS 2020
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11 results for Stephen Pasteris
Looking Glass of NFV: Inferring the Structure and State of NFV Network from External Observations
- Yilei Lin
- Ting He
- et al.
- 2019
- INFOCOM 2019
Service Placement with Provable Guarantees in Heterogeneous Edge Computing Systems
- Stephen Pasteris
- Shiqiang Wang
- et al.
- 2019
- INFOCOM 2019
Joint Coreset Construction and Quantization for Distributed Machine Learning
- Hanlin Lu
- Changchang Liu
- et al.
- 2020
- Networking 2020
Multicast-Based Weight Inference in General Network Topologies
- Yilei Lin
- Ting He
- et al.
- 2019
- ICC 2019
Maxhedge: Maximising a maximum online
- Stephen Pasteris
- Fabio Vitale
- et al.
- 2019
- AISTATS 2019
Approaches to address the data skew problem in federated learning
- Dinesh Verma
- G. White
- et al.
- 2019
- SPIE DCS 2019
Data distribution and scheduling for distributed analytics tasks
- Stephen Pasteris
- Shiqiang Wang
- et al.
- 2017
- SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017
An algorithm for model fusion for distributed learning
- Dinesh Verma
- Supriyo Chakraborty
- et al.
- 2018
- SPIE Defense + Security 2018
Communication-Efficient k-Means for Edge-Based Machine Learning
- Hanlin Lu
- Ting He
- et al.
- 2022
- IEEE TPDS