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Decentralized Inference with Graph Neural Networks in Wireless Communication Systems
Graph neural network (GNN) is an efficient neural network model for grap...
04/19/2021 ∙ by Mengyuan Lee, et al. ∙
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Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation
The conventional federated learning (FedL) architecture distributes mach...
01/04/2021 ∙ by Su Wang, et al. ∙
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A Fast Graph Neural Network-Based Method for Winner Determination in Multi-Unit Combinatorial Auctions
The combinatorial auction (CA) is an efficient mechanism for resource al...
09/29/2020 ∙ by Mengyuan Lee, et al. ∙
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Accelerating Generalized Benders Decomposition for Wireless Resource Allocation
Generalized Benders decomposition (GBD) is a globally optimal algorithm ...
03/03/2020 ∙ by Mengyuan Lee, et al. ∙
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Graph Embedding based Wireless Link Scheduling with Few Training Samples
Link scheduling in device-to-device (D2D) networks is usually formulated...
06/07/2019 ∙ by Mengyuan Lee, et al. ∙
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Learning to Branch: Accelerating Resource Allocation in Wireless Networks
Resource allocation in wireless networks, such as device-to-device (D2D)...
03/05/2019 ∙ by Mengyuan Lee, et al. ∙
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