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04/11/2023
Communication Efficient DNN Partitioning-based Federated Learning
Efficiently running federated learning (FL) on resource-constrained devi...
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12/02/2022
Simultaneous Transmitting and Reflecting-Reconfigurable Intelligent Surface in 6G: Design Guidelines and Future Perspectives
Reconfigurable intelligent surfaces (RISs) have been considered as a pro...
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08/18/2022
FedComm: Understanding Communication Protocols for Edge-based Federated Learning
Federated learning (FL) trains machine learning (ML) models on devices u...
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11/02/2021
FedFly: Towards Migration in Edge-based Distributed Federated Learning
Federated learning (FL) is a privacy-preserving distributed machine lear...
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07/09/2021
FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning
Applying Federated Learning (FL) on Internet-of-Things devices is necess...
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03/02/2021
Information-Centric Networking in Wireless Environments: Security Risks and Challenges
Information-Centric Networking (ICN) has emerged as a paradigm to cope w...
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01/10/2021
An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks
In recent years, there has been a massive increase in the amount of Inte...
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11/24/2020
