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08/15/2022
Optimistic No-regret Algorithms for Discrete Caching
We take a systematic look at the problem of storing whole files in a cac...
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04/20/2022
Online Caching with no Regret: Optimistic Learning via Recommendations
The design of effective online caching policies is an increasingly impor...
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02/22/2022
Online Caching with Optimistic Learning
The design of effective online caching policies is an increasingly impor...
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02/21/2022
Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous multi-RAT Networks
The rapid production of mobile devices along with the wireless applicati...
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02/15/2022
Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in EdgeIoT
Federated learning (FL) has been increasingly considered to preserve dat...
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08/05/2021
Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey
The rapid increase in the percentage of chronic disease patients along w...
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07/14/2021
Communication-Efficient Hierarchical Federated Learning for IoT Heterogeneous Systems with Imbalanced Data
Federated learning (FL) is a distributed learning methodology that allow...
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05/04/2021
Pervasive AI for IoT Applications: Resource-efficient Distributed Artificial Intelligence
Artificial intelligence (AI) has witnessed a substantial breakthrough in...
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12/10/2020