Search Results for author: Ki-Jun Jeon

Found 2 papers, 0 papers with code

Federated Dropout -- A Simple Approach for Enabling Federated Learning on Resource Constrained Devices

no code implementations30 Sep 2021 Dingzhu Wen, Ki-Jun Jeon, Kaibin Huang

To tackle the challenge, in this paper, a federated dropout (FedDrop) scheme is proposed building on the classic dropout scheme for random model pruning.

Federated Learning

Adaptive Subcarrier, Parameter, and Power Allocation for Partitioned Edge Learning Over Broadband Channels

no code implementations8 Oct 2020 Dingzhu Wen, Ki-Jun Jeon, Mehdi Bennis, Kaibin Huang

Targeting broadband channels, we consider the joint control of parameter allocation, sub-channel allocation, and transmission power to improve the performance of PARTEL.

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