Difference between revisions of "Tutorial:Must read"

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This page shows the must-read papers for different topics. ''This list will be updated annually.''
This page shows the must-read papers for different topics. ''This list will be updated annually.''
==Edge computing==
* Shi, W. and Dustdar, S., 2016. [https://ieeexplore.ieee.org/abstract/document/7469991/ The promise of edge computing]. Computer, 49(5), pp.78-81.
===Offloading===
* Chen, X., Jiao, L., Li, W. and Fu, X., 2015. [https://arxiv.org/pdf/1510.00888 Efficient multi-user computation offloading for mobile-edge cloud computing]. IEEE/ACM Transactions on Networking, 24(5), pp.2795-2808.
* Mach, P. and Becvar, Z., 2017. Mobile edge computing: [https://arxiv.org/pdf/1702.05309 A survey on architecture and computation offloading]. IEEE Communications Surveys & Tutorials, 19(3), pp.1628-1656.
* Mao, Y., Zhang, J. and Letaief, K.B., 2016. [https://ieeexplore.ieee.org/abstract/document/7572018/ Dynamic computation offloading for mobile-edge computing with energy harvesting devices]. IEEE Journal on Selected Areas in Communications, 34(12), pp.3590-3605.
===Wireless distributed learning===
* Konečný, J., McMahan, H.B., Yu, F.X., Richtárik, P., Suresh, A.T. and Bacon, D., 2016. [https://arxiv.org/pdf/1610.05492 Federated learning: Strategies for improving communication efficiency]. arXiv preprint arXiv:1610.05492.
* Bonawitz, K., Eichner, H., Grieskamp, W., Huba, D., Ingerman, A., Ivanov, V., Kiddon, C., Konecny, J., Mazzocchi, S., McMahan, H.B. and Van Overveldt, T., 2019. [https://arxiv.org/pdf/1902.01046 Towards federated learning at scale: System design]. arXiv preprint arXiv:1902.01046.
* Wang, X., Han, Y., Wang, C., Zhao, Q., Chen, X. and Chen, M., 2019. [https://arxiv.org/pdf/1809.07857 In-edge ai: Intelligentizing mobile edge computing, caching and communication by federated learning]. IEEE Network.
===SDN/NFV related===
* Tran, T.X., Hajisami, A., Pandey, P. and Pompili, D., 2017. [https://arxiv.org/pdf/1612.03184 Collaborative mobile edge computing in 5G networks: New paradigms, scenarios, and challenges]. IEEE Communications Magazine, 55(4), pp.54-61.
* Xu, J., Chen, L. and Zhou, P., 2018, April. [https://arxiv.org/pdf/1801.05868 Joint service caching and task offloading for mobile edge computing in dense networks]. In IEEE INFOCOM 2018-IEEE Conference on Computer Communications (pp. 207-215). IEEE.
* Cziva, R. and Pezaros, D.P., 2017. [http://eprints.gla.ac.uk/138001/7/138001.pdf Container network functions: bringing NFV to the network edge]. IEEE Communications Magazine, 55(6), pp.24-31.
===Other interesting topics===


==Low-power wireless==
==Low-power wireless==
Line 21: Line 39:
* Liang, C.J.M., Chen, K., Priyantha, N.B., Liu, J. and Zhao, F., November. [http://www.fengzhao.com/pubs/sensys14rushnet.pdf Rushnet: practical traffic prioritization for saturated wireless sensor networks]. In Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems (pp. 105-118). ACM.
* Liang, C.J.M., Chen, K., Priyantha, N.B., Liu, J. and Zhao, F., November. [http://www.fengzhao.com/pubs/sensys14rushnet.pdf Rushnet: practical traffic prioritization for saturated wireless sensor networks]. In Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems (pp. 105-118). ACM.


==Edge computing==
* Shi, W. and Dustdar, S., 2016. [https://ieeexplore.ieee.org/abstract/document/7469991/ The promise of edge computing]. Computer, 49(5), pp.78-81.
===Offloading===
* Chen, X., Jiao, L., Li, W. and Fu, X., 2015. [https://arxiv.org/pdf/1510.00888 Efficient multi-user computation offloading for mobile-edge cloud computing]. IEEE/ACM Transactions on Networking, 24(5), pp.2795-2808.
* Mach, P. and Becvar, Z., 2017. Mobile edge computing: [https://arxiv.org/pdf/1702.05309 A survey on architecture and computation offloading]. IEEE Communications Surveys & Tutorials, 19(3), pp.1628-1656.
* Mao, Y., Zhang, J. and Letaief, K.B., 2016. [https://ieeexplore.ieee.org/abstract/document/7572018/ Dynamic computation offloading for mobile-edge computing with energy harvesting devices]. IEEE Journal on Selected Areas in Communications, 34(12), pp.3590-3605.
===Wireless distributed learning===
* Konečný, J., McMahan, H.B., Yu, F.X., Richtárik, P., Suresh, A.T. and Bacon, D., 2016. [https://arxiv.org/pdf/1610.05492 Federated learning: Strategies for improving communication efficiency]. arXiv preprint arXiv:1610.05492.
* Bonawitz, K., Eichner, H., Grieskamp, W., Huba, D., Ingerman, A., Ivanov, V., Kiddon, C., Konecny, J., Mazzocchi, S., McMahan, H.B. and Van Overveldt, T., 2019. [https://arxiv.org/pdf/1902.01046 Towards federated learning at scale: System design]. arXiv preprint arXiv:1902.01046.
* Wang, X., Han, Y., Wang, C., Zhao, Q., Chen, X. and Chen, M., 2019. [https://arxiv.org/pdf/1809.07857 In-edge ai: Intelligentizing mobile edge computing, caching and communication by federated learning]. IEEE Network.
===SDN/NFV related===
* Tran, T.X., Hajisami, A., Pandey, P. and Pompili, D., 2017. [https://arxiv.org/pdf/1612.03184 Collaborative mobile edge computing in 5G networks: New paradigms, scenarios, and challenges]. IEEE Communications Magazine, 55(4), pp.54-61.
* Xu, J., Chen, L. and Zhou, P., 2018, April. [https://arxiv.org/pdf/1801.05868 Joint service caching and task offloading for mobile edge computing in dense networks]. In IEEE INFOCOM 2018-IEEE Conference on Computer Communications (pp. 207-215). IEEE.
* Cziva, R. and Pezaros, D.P., 2017. [http://eprints.gla.ac.uk/138001/7/138001.pdf Container network functions: bringing NFV to the network edge]. IEEE Communications Magazine, 55(6), pp.24-31.
===Other interesting topics===


==Mobile/Wearables==
==Mobile/Wearables==

Latest revision as of 14:11, 8 June 2021

This page shows the must-read papers for different topics. This list will be updated annually.

Edge computing

Offloading

Wireless distributed learning

SDN/NFV related

Other interesting topics

Low-power wireless

LoRa

Ad hoc protocols

Other interesting topics


Mobile/Wearables

Path programming

Wireless sensing

Other interesting topics