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Personalisation of Federated Learning Models Through Knowledge Distillation on Decentralised Data.

, , , , , , , and . GLOBECOM (Workshops), page 56-61. IEEE, (2023)

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Personalisation of Federated Learning Models Through Knowledge Distillation on Decentralised Data., , , , , , , and . GLOBECOM (Workshops), page 56-61. IEEE, (2023)Evaluating the Effect of Volatile Federated Timeseries on Modern DNNs: Attention over Long/Short Memory., , , , , , and . MOCAST, page 1-6. IEEE, (2023)Cherry Tree Disease Detection Dataset., , , , , , , , , and 1 other author(s). (October 2022)ELECTRON: An Architectural Framework for Securing the Smart Electrical Grid with Federated Detection, Dynamic Risk Assessment and Self-Healing., , , , , , , , , and 24 other author(s). ARES, page 51:1-51:8. ACM, (2023)NeuralPot: An Industrial Honeypot Implementation Based On Deep Neural Networks., , , , , , , and . ISCC, page 1-7. IEEE, (2020)CloudCap (C2app) : A Cloud-Based Platform for Packet Analysis On The Edge., , , , and . CoRR, (2024)Unsupervised Ethical Equity Evaluation of Adversarial Federated Networks., , , , and . ARES, page 123:1-123:6. ACM, (2021)Unsupervised Bias Evaluation of DNNs in non-IID Federated Learning Through Latent micro-Manifolds., , , , , and . INFOCOM Workshops, page 1-6. IEEE, (2022)A Novel and Interactive Industrial Control System Honeypot for Critical Smart Grid Infrastructure., , , , and . CAMAD, page 1-6. IEEE, (2019)Synthetic Traffic Signs Dataset for Traffic Sign Detection & Recognition In Distributed Smart Systems., , , , , and . DCOSS, page 302-308. IEEE, (2021)