Yongzhou@UIUC
Yongzhou@UIUC
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Octopus: In-Network Content Adaptation to Control Congestion on 5G Links
(To appear)
Yongzhou Chen
,
Ammar Tahir
,
Francis Y. Yan
,
Radhika Mittal
PDF
FedSS: Federated Learning with Smart Selection of Clients
Federated learning provides the ability to learn over heterogeneous user data in a distributed manner while preserving user privacy. However, its current clients selection technique is a source of bias as it discriminates against slow clients.
Ammar Tahir
,
Yongzhou Chen
,
Prashanti Nilayam
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Channel-Aware 5G RAN Slicing with Customizable Schedulers
RadioSaber focuses on 5G RAN slicing, where the 5G radio resources must be divided across slices (or enterprises) so as to achieve high spectrum efficiency, fairness and isolation across slices, and the ability for each slice to customize how the radio resources are divided across its own users.
Yongzhou Chen
,
Ruihao Yao
,
Haitham Hassanieh
,
Radhika Mittal
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