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https://www.mdpi.com/1424-8220/23/8/4166
Distributed DRL-Based Computation Offloading Scheme for Improving QoE in Edge Computing...
Various edge collaboration schemes that rely on reinforcement learning (RL) have been proposed to improve the quality of experience (QoE).
computation offloadingdistributeddrlbasedscheme
https://deepai.org/publication/majority-vote-computation-with-complementary-sequences-for-distributed-uav-guidance
Majority Vote Computation With Complementary Sequences for Distributed UAV Guidance | DeepAI
08/11/23 - This study introduces a novel non-coherent over-the-air computation (OAC) scheme aimed at achieving reliable majority vote (MV) ca...
majority votecomplementary sequencescomputationdistributeduav
https://zenodo.org/records/14761040
Dynamic Edge/Cloud Resource Allocation for Distributed Computation Under Semi-Static Demands
Edge computing is a recent paradigm where the processing takes place close to the data sources. It therefore reduces latency and saves bandwidth compared to...
cloud resource allocationdistributed computationdynamicedgesemi
https://deepai.org/publication/distributed-learning-over-a-wireless-network-with-non-coherent-majority-vote-computation
Distributed Learning over a Wireless Network with Non-coherent Majority Vote Computation | DeepAI
09/10/22 - In this study, we propose an over-the-air computation (OAC) scheme to calculate the majority vote (MV) for federated edge learning...
distributed learningwireless networknoncoherentmajority