Publications

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Gu, X., Wang, X., Feng, Y., Long, Y., Mukherjee, M., Pan, Z., Guo, M. & Zhang, Q. (2022). Demo: TINGLE: Pushing Edge Intelligence in Synchronization and Useful Data Transfer for Human-Robotic Arm Interactions. In INFOCOM WKSHPS 2022 - IEEE Conference on Computer Communications Workshops IEEE. https://doi.org/10.1109/INFOCOMWKSHPS54753.2022.9798353

Bakhtiarnia, A., Zhang, Q. & Iosifidis, A. (2022). Single-layer vision transformers for more accurate early exits with less overhead. Neural Networks, 153, 461-473. https://doi.org/10.1016/j.neunet.2022.06.038

Dong, Z., Li, N., Iosifidis, A. & Zhang, Q. (2022). Design and Prototyping Distributed CNN Inference Acceleration in Edge Computing. ArXiv. https://doi.org/10.48550/arXiv.2211.13778

Fehér, M., Lucani Rötter, D. E. & Chatzigeorgiou, I. (Accepted/In press). An Adaptive Column Compression Family for Self-Driving Databases. Paper presented at Thirteenth International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures, Sydney, New South Wales, Australia.

Fehér, M., Lucani Rötter, D. E., Hansen, M. T. & Vester, F. E. (2022). Stream Compression of DLMS Smart Meter Readings. In ICC 2022 - IEEE International Conference on Communications (pp. 5517-5522). IEEE. IEEE International Conference on Communications https://doi.org/10.1109/ICC45855.2022.9838758

Hosseinzadeh, M., Wachal, A., Khamfroush, H. & Lucani Rötter, D. E. (2022). QoS-Aware Priority-Based Task Offloading for Deep Learning Services at the Edge. In 2022 IEEE Annual Consumer Communications & Networking Conference (CCNC) (pp. 319-325). IEEE. Proceedings of the IEEE Consumer Communications and Networking Conference (CCNC) https://doi.org/10.1109/CCNC49033.2022.9700676

Hurst, A., Lucani Rötter, D. E., Assent, I. & Zhang, Q. (2022). GLEAN: Generalized Deduplication Enabled Approximate Edge Analytics. IEEE Internet of Things Journal.

Kuldeep, G. & Zhang, Q. (2022). Multi-class privacy-preserving cloud computing based on compressive sensing for IoT. Journal of Information Security and Applications, 66, [103139]. https://doi.org/10.1016/j.jisa.2022.103139

Kumar, V., Mukherjee, M., Lloret, J., Zhang, Q. & Kumari, M. (2022). Delay-optimal and Incentive-aware Computation Offloading for Reconfigurable Intelligent Surface-assisted Mobile Edge Computing. IEEE Networking Letters. https://doi.org/10.1109/LNET.2022.3187720

Li, N., Iosifidis, A. & Zhang, Q. (2022). Collaborative edge computing for distributed CNN inference acceleration using receptive field-based segmentation. Computer Networks, 214, [109150]. https://doi.org/10.1016/j.comnet.2022.109150

Li, N., Iosifidis, A. & Zhang, Q. (2022). Distributed Deep Learning Inference Acceleration using Seamless Collaboration in Edge Computing. In ICC 2022 - IEEE International Conference on Communications (pp. 3667-3672). IEEE. https://doi.org/10.1109/ICC45855.2022.9839083

Li, N., Iosifidis, A. & Zhang, Q. (2022). Graph Reinforcement Learning-based CNN Inference Offloading in Dynamic Edge Computing. In GLOBECOM 2022 - 2022 IEEE Global Communications Conference (pp. 982-987). IEEE. https://doi.org/10.1109/GLOBECOM48099.2022.10001067

Li, N., Iosifidis, A. & Zhang, Q. (2022). Receptive Field-based Segmentation for Distributed CNN Inference Acceleration in Collaborative Edge Computing. In ICC 2022 - IEEE International Conference on Communications (pp. 4281-4286). IEEE. https://doi.org/10.1109/ICC45855.2022.9838547

Mukherjee, M., Kumar, V., Zhang, Q., Mavromoustakis, C. X. & Matam, R. (2022). Optimal Pricing for Offloaded Hard- and Soft-Deadline Tasks in Edge Computing. IEEE Transactions on Intelligent Transportation Systems, 23(7), 9829-9839. https://doi.org/10.1109/TITS.2021.3117973

Mukherjee, M., Kumar, V., Kumar, S., Mavromoustakis, C. X., Zhang, Q. & Guo, M. (2022). RIS-assisted Task Offloading for Wireless Dead Zone to Minimize Delay in Edge Computing. In GLOBECOM 2022 - 2022 IEEE Global Communications Conference (pp. 2554-2559). IEEE. https://doi.org/10.1109/GLOBECOM48099.2022.10001478

Mørup, C., Kloborg, A. & Lucani Rötter, D. E. (Accepted/In press). Extreme Bitmapping: Efficiently Sorting Data for Cloud Compression. In IEEE 11th International Conference on Cloud Networking (CloudNet) IEEE.

Sehat, H., Lucani Rötter, D. E. & Pagnin, E. (Accepted/In press). Bifrost: Secure, Scalable and Efficient File Sharing System Using Dual Deduplication. In IEEE 11th International Conference on Cloud Networking (CloudNet) IEEE.

Sehat, H., Lindskov Kloborg, A., Mørup, C., Pagnin, E. & Lucani Rötter, D. E. (2022). Bonsai: A General Look at Dual Dedupliation.

Sehat, H., Pagnin, E. & Lucani Rötter, D. E. (2022). Yose-ue: Scalable differential privacy for smart meter data.

Vestergaard, R., Techel, J., Zhang, Q. & Lucani Rötter, D. E. (Accepted/In press). Lightweight Compression for Severely Constrained IoT Devices. In European Wireless Conference 2022 IEEE.

Vestergaard, R., Pagnin, E., Kundu, R. & Lucani, D. E. (2022). Secure Cloud Storage with Joint Deduplication and Erasure Protection. In C. A. Ardagna, N. Atukorala, R. Buyya, C. K. Chang, R. N. Chang, E. Damiani, G. B. Dasgupta, F. Gagliardi, C. Hagleitner, D. Milojicic, T. M. H. Trong, R. Ward, F. Xhafa & J. Zhang (Eds.), 2022 IEEE 15th International Conference on Cloud Computing (CLOUD) (pp. 554-563). IEEE. https://doi.org/10.1109/CLOUD55607.2022.00078

Wang, X., Feng, Y., Gu, X., Long, Y., Mukherjee, M., Fizza, K., Zhang, Q. & Guo, M. (2022). Edge Intelligence for Synchronized Human-Robotic Arm Interactions over Unreliable Wireless Channels. In GLOBECOM 2022 - 2022 IEEE Global Communications Conference (pp. 6349-6353). IEEE. https://doi.org/10.1109/GLOBECOM48099.2022.10001583

Yazdani, N., Kouvelas, N., Lucani Rötter, D. E. & Prasad, R. V. (Accepted/In press). Divide and Code: Efficient and Real-time Data Recovery from Corrupted LoRa Frames. In IEEE International Conference on Sensing, Communication, and Networking (SECON) IEEE.

Alam, M. & Zhang, Q. (2021). A Survey: Nonorthogonal Multiple Access with Compressed Sensing Multiuser Detection for mMTC. Wireless Communications and Mobile Computing, [8840519]. https://doi.org/10.1155/2021/8840519

Bakhtiarnia, A., Zhang, Q. & Iosifidis, A. (2021). Improving the Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning. In 2021 International Joint Conference on Neural Networks (IJCNN) IEEE. https://doi.org/10.1109/IJCNN52387.2021.9533875

Bakhtiarnia, A., Zhang, Q. & Iosifidis, A. (2021). Multi-Exit Vision Transformer for Dynamic Inference. In The 32nd British Machine Vision Conference https://www.semanticscholar.org/paper/Multi-Exit-Vision-Transformer-for-Dynamic-Inference-Bakhtiarnia-Zhang/26f61039857423c0aad2c44f0e7769cbb61246c9

Fehér, M., Lucani Rötter, D. E., Hansen, M. T. & Vester, F. E. (2021). Exploiting DLMS/COSEM Data Compression To Learn Power Consumption Patterns. In IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) (pp. 346-351). IEEE. https://doi.org/10.1109/SmartGridComm51999.2021.9632291

Hosseinzadeh, M., Hudson, N., Zhao, X., Khamfroush, H. & Lucani Rötter, D. E. (2021). Joint Compression and Offloading Decisions for Deep Learning Services in 3-Tier Edge Systems. In 2021 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN) (pp. 254-261). IEEE. https://doi.org/10.1109/DySPAN53946.2021.9677398

Hosseinzadeh, M., Wachal, A., Khamfroush, H. & Lucani Rötter, D. E. (2021). Optimal Accuracy-Time Trade-off For Deep Learning Services in Edge Computing Systems. In ICC 2021 - IEEE International Conference on Communications, Proceedings IEEE. https://doi.org/10.1109/ICC42927.2021.9500744

Hudson, N., Khamfroush, H. & Lucani Rötter, D. E. (2021). QoS-Aware Placement of Deep Learning Services on the Edge with Multiple Service Implementations. In 2021 International Conference on Computer Communications and Networks (ICCCN) IEEE. Proceedings of the International Conference on Computer Communications and Networks https://doi.org/10.1109/ICCCN52240.2021.9522156

Hurst, A., Zhang, Q., Lucani Rötter, D. E. & Assent, I. (2021). Direct Analytics of Generalized Deduplication Compressed IoT Data. In IEEE Global Communications Conference (GLOBECOM) IEEE. IEEE Global Communications Conference (GLOBECOM) https://doi.org/10.1109/GLOBECOM46510.2021.9685589

Kouvelas, N., Prasad, R. V., Yazdani, N. & Lucani Rötter, D. E. (2021). np-CECADA: Enhancing Ubiquitous Connectivity of LoRa Networks. In 2021 IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems (MASS) (pp. 374-382). IEEE. https://doi.org/10.1109/MASS52906.2021.00054

Kretsis, A., Kokkinos, P., Soumplis, P., Vegas Olmos, J. J., Fehér, M., Sipos, M. A., Lucani Rötter, D. E., Khabi, D., Masouros, D., Siozios, K., Bourgos, P., Tsekeridou, S., Zyulkyarov, F., Karanastasis, E., Chondrogiannis, E., Andronikou, V., Fernandez Gomez, A., Panica, S., Iuhasz, G. ... Varvarigos, M. (2021). SERRANO: Transparent Application Deployment in a Secure, Accelerated and Cognitive Cloud Continuum. In IEEE International Mediterranean Conference on Communications and Networking (MeditCom) IEEE. https://doi.org/10.1109/MeditCom49071.2021.9647689

Kuldeep, G. & Zhang, Q. (2021). A Novel Efficient Secure and Error-Robust Scheme for Internet of Things Using Compressive Sensing. IEEE Access, 9, 40903-40914. https://doi.org/10.1109/ACCESS.2021.3064700

Kuldeep, G. & Zhang, Q. (2021). Design Prototype and Security Analysis of a Lightweight Joint Compression and Encryption Scheme for Resource-constrained IoT Devices. IEEE Internet of Things Journal. https://doi.org/10.1109/JIOT.2021.3098859

Marandi, S. A., Sehat, H., Lucani Rötter, D. E., Mousavifar, S. & Jacobsen, R. H. (2021). Network Coding-based Data Storage and Retrieval for Kademlia. In 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) IEEE. I E E E V T S Vehicular Technology Conference. Proceedings https://doi.org/10.1109/VTC2021-Spring51267.2021.9448845

Mohammadi, S., Pahlevani, P. & Lucani, D. E. (2021). Perpetual Network Coding for Delay Sensitive Applications. Wireless Personal Communications, 120(2), 923-947. https://doi.org/10.1007/s11277-021-08497-x

Mukherjee, M., Kumar, V., Kumar, S., Lloret, J., Zhang, Q. & Guo, M. (2021). Reconfigurable Intelligent Surface-assisted Edge Computing to Minimize Delay in Task Offloading. In 2021 IEEE Global Communications Conference (GLOBECOM) IEEE. https://doi.org/10.1109/GLOBECOM46510.2021.9685374

Nazari, H. K., Ghassabi, K., Pahlevani, P. & Lucani Rötter, D. E. (2021). Improving the Decoding Speed of Packet Recovery in Network Coding. IEEE Communications Letters, 25(2). https://doi.org/10.1109/LCOMM.2020.3031011

Nielsen, L. & Lucani Rötter, D. E. (2021). Hekate a tool for gauging Data Deduplication Performance. In 2021 IEEE 6th International Conference on Smart Cloud (SmartCloud) (pp. 67-72). IEEE. https://doi.org/10.1109/SmartCloud52277.2021.00019

Nielsen, L., Burihabwa, D., Schiavoni, V., Felber, P. & Lucani Rötter, D. E. (2021). MinervaFS: A User-Space File System for Generalised Deduplication. In International Symposium on Reliable Distributed Systems (SRDS) IEEE. https://doi.org/10.1109/SRDS53918.2021.00033

Sehat, H., Pagnin, E. & Lucani Rötter, D. E. (2021). Yggdrasil: Privacy-Aware Dual Deduplication in Multi Client Settings. In ICC 2021 - IEEE International Conference on Communications, Proceedings IEEE. https://doi.org/10.1109/ICC42927.2021.9500816

Talasila, P. & Lucani Rötter, D. E. (2021). Performance of Generalized Deduplication Under Different Input Conditions. In European Wireless Conference: 26th European Wireless Conference IEEE. https://ieeexplore.ieee.org/document/9657095

Vestergaard, R., Zhang, Q. & Lucani Rötter, D. E. (2021). Enabling Random Access in Universal Compressors. In IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS): Proceedings IEEE. https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484460

Vestergaard, R., Hanna, O., Song, L., Lucani Rötter, D. E. & Fragouli, C. (2021). On Coded Broadcasting for Wireless Recommendation Systems. In ICC 2021 - IEEE International Conference on Communications, Proceedings IEEE. https://doi.org/10.1109/ICC42927.2021.9500829

Vestergaard, R., Zhang, Q., Sipos, M. & Lucani Rötter, D. E. (2021). Titchy: Online Time-series Compression with Random Access for the Internet of Things. IEEE Internet of Things Journal, 8(24), 17568-17583. https://doi.org/10.1109/JIOT.2021.3081868

Yazdani, N., Kouvelas, N., Prasad, R. V. & Lucani Rötter, D. E. (2021). Energy Efficient Data Recovery from Corrupted LoRa Frames. In IEEE Global Communications Conference (GLOBECOM) IEEE. IEEE Global Communications Conference (GLOBECOM) https://doi.org/10.1109/GLOBECOM46510.2021.9685613

Yazdani, N. & Lucani Rötter, D. E. (2021). Online Compression of Multiple IoT Sources Reduces the Age of Information. IEEE Internet of Things Journal, 8(19), 14514-14530. https://doi.org/10.1109/JIOT.2021.3064511

Yazdani, N. & Lucani Rötter, D. E. (2021). Revolving Codes: Overhead and Computational Complexity Analysis. IEEE Communications Letters, 25(2), 374-378. https://doi.org/10.1109/LCOMM.2020.3027875

Fehér, M., Yazdani, N., Aranha, D. F., Lucani Rötter, D. E., Hansen, M. T. & Vester, F. E. (2020). Side Channel Security of Smart Meter Data Compression Techniques. In 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm): Proceedings IEEE. https://doi.org/10.1109/SmartGridComm47815.2020.9302931

Displaying results 1 to 50 out of 326

Revised 06.09.2022

Daniel Enrique Lucani Rötter