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07/17/2023
Dynamic Joint Scheduling of Anycast Transmission and Modulation in Hybrid Unicast-Multicast SWIPT-Based IoT Sensor Networks
The separate receiver architecture with a time- or power-splitting mode,...
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07/02/2023
Collaborative Policy Learning for Dynamic Scheduling Tasks in Cloud-Edge-Terminal IoT Networks Using Federated Reinforcement Learning
In this paper, we examine cloud-edge-terminal IoT networks, where edges ...
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06/09/2022
NNTrainer: Light-Weight On-Device Training Framework
Modern consumer electronic devices have adopted deep learning-based inte...
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01/18/2022
System-Agnostic Meta-Learning for MDP-based Dynamic Scheduling via Descriptive Policy
Dynamic scheduling is an important problem in applications from queuing ...
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03/02/2021
Adaptive Transmission Scheduling in Wireless Networks for Asynchronous Federated Learning
In this paper, we study asynchronous federated learning (FL) in a wirele...
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01/26/2021
SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups
Phase I clinical trials are designed to test the safety (non-toxicity) o...
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06/14/2020
Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification
Subgroup analysis of treatment effects plays an important role in applic...
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01/08/2020