Incentive Mechanism Design for Unbiased Federated Learning with Randomized Client Participation
- Bing Luo
- Yutong Feng
- et al.
- 2023
- ICDCS 2023
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24 results for Leandros Tassiulas
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels
- Aosong Feng
- Chenyu You
- et al.
- 2022
- AAAI 2022
Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling
- Bing Luo
- Wenli Xiao
- et al.
- 2022
- INFOCOM 2022
Cost-effective federated learning design
- Bing Luo
- Xiang Li
- et al.
- 2021
- INFOCOM 2021
Q-Placement: Reinforcement-learning-based service placement in software-defined networks
- Ziyao Zhang
- Liang Ma
- et al.
- 2018
- ICDCS 2018
Energy-Aware Learning Agent (EALA) for Disaggregated Cloud Scheduling
- Nicholas Nordlund
- Vassilis Vassiliadis
- et al.
- 2021
- CLOUD 2021
Model Pruning Enables Efficient Federated Learning on Edge Devices
- Yuang Jiang
- Shiqiang Wang
- et al.
- 2021
- IEEE TNNLS
Full Exploitation of Limited Memory in Quantum Entanglement Switching
- Panagiotis Promponas
- Victor Valls
- et al.
- 2023
- IFIP Networking 2023
Bringing SDN to the mobile edge
- Konstantinos Poularakis
- Qiaofeng Qin
- et al.
- 2017
- SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017
Influence maximisation beyond organisational boundaries
- Sebastian Stein
- Soheil Eshghi
- et al.
- 2017
- SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017