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Published in 2022 at "IEEE Network"
DOI: 10.1109/mnet.011.2000783
Abstract: Federated learning enables distributed training of deep learning models among user equipment (UE) to obtain a high-quality global model. A centralized server aggregates the updates submitted by UEs without knowledge of the local training data…
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Keywords:
federated learning;
model dependent;
backdoor attacks;
coordinated backdoor ... See more keywords
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Published in 2025 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2025.3621540
Abstract: This research investigates the problem of exponential tracking consensus for nonlinear switched multi-agent systems (NSMASs) under limited communication resources. To alleviate the communication load, edge-event-triggered strategies are applied to switched multi-agent systems for the first…
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Keywords:
model dependent;
switched multi;
edge;
event triggered ... See more keywords