Source code for the paper "Joint Class-Balanced Client Selection and Bandwidth Allocation for Cost-Efficient Federated Learning in Mobile Edge Computing Networks". This paper is pulished in IEEE TMC.
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Updated
Dec 15, 2025 - Python
Source code for the paper "Joint Class-Balanced Client Selection and Bandwidth Allocation for Cost-Efficient Federated Learning in Mobile Edge Computing Networks". This paper is pulished in IEEE TMC.
Source code for the paper "Accelerating Federated Learning under Client Dropout via Joint Bandwidth Allocation and Prototype Fine-Tuning in Mobile Edge Computing Networks".
About This is an event-driven simulation of dynamic bandwidth allocation (DBA) in Fiber-To-The-Room (FTTR) network, where the External PON is a 50 Gbps Gigabit Passive Optical Network (50G-PON) with split-ratio 1:16 and the Internal PON is a 10G-PON with split-ratio 1:8 with WiFi-7 multi-link operation (MLO). Note that MAC is abstracted.
About This is an event-driven simulation of dynamic bandwidth allocation (DBA) in Fiber-To-The-Room (FTTR) network, where the External PON is a 50 Gbps Gigabit Passive Optical Network (50G-PON) with split-ratio 1:16 and the Internal PON is a 10G-PON with split-ratio 1:8. Note that This is an abstract implementation of the ITU-T standard G-PON MAC.
This is an event-driven simulation of dynamic bandwidth allocation (DBA) in 1.244 Gbps Gigabit Passive Optical Network (GPON) following ITU-T standard. Note that this is a conceptual implementation of the MAC mainly for academic insights. So most PHY layer and detailed MAC layer features are implemented with abstraction.
Demand-aware dynamic bandwidth allocation for shared hostel networks using DPDT traversal.
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