Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling
- Bing Luo
- Wenli Xiao
- et al.
- 2022
- INFOCOM 2022
Conference paper
Publications
28 results for Leandros Tassiulas
Model Pruning Enables Efficient Federated Learning on Edge Devices
- Yuang Jiang
- Shiqiang Wang
- et al.
- 2021
- IEEE TNNLS
PaperCost-Effective Federated Learning in Mobile Edge Networks
- Bing Luo
- Xiang Li
- et al.
- 2021
- IEEE J-SAC
PaperEnergy-Aware Learning Agent (EALA) for Disaggregated Cloud Scheduling
- Nicholas Nordlund
- Vassilis Vassiliadis
- et al.
- 2021
- CLOUD 2021
Short paperCost-effective federated learning design
- Bing Luo
- Xiang Li
- et al.
- 2021
- INFOCOM 2021
Conference paperQ-Placement: Reinforcement-learning-based service placement in software-defined networks
- Ziyao Zhang
- Liang Ma
- et al.
- 2018
- ICDCS 2018
Conference paperInfluence maximisation beyond organisational boundaries
- Sebastian Stein
- Soheil Eshghi
- et al.
- 2017
- SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017
Conference paperBringing SDN to the mobile edge
- Konstantinos Poularakis
- Qiaofeng Qin
- et al.
- 2017
- SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017
Conference paperHeuristic algorithms for influence maximization in partially observable social networks
- Sebastian Stein
- Soheil Eshghi
- et al.
- 2017
- SocInf 2017
Conference paperExploring patterns in water consumption by clustering
- Chrysi Laspidou
- Elpiniki Papageorgiou
- et al.
- 2015
- IUTAM Climate Change 2015
Conference paper