• Rahmath P H, Srivastava V, Chaurasia K, Pacheco R and Couto R. (2024). Early-Exit Deep Neural Network - A Comprehensive Survey. ACM Computing Surveys. 57:3. (1-37). Online publication date: 31-Mar-2025.

    https://doi.org/10.1145/3698767

  • Bajpai D, Jaiswal A and Hanawal M. (2024). I-SplitEE: Image Classification in Split Computing DNNs with Early Exits ICC 2024 - IEEE International Conference on Communications. 10.1109/ICC51166.2024.10622954. 978-1-7281-9054-9. (2658-2663).

    https://ieeexplore.ieee.org/document/10622954/

  • Yan G, Liu K, Liu C and Zhang J. Edge Intelligence for Internet of Vehicles: A Survey. IEEE Transactions on Consumer Electronics. 10.1109/TCE.2024.3378509. 70:2. (4858-4877).

    https://ieeexplore.ieee.org/document/10474509/

  • Ayyat M, Nadeem T and Krawczyk B. ClassyNet: Class-Aware Early-Exit Neural Networks for Edge Devices. IEEE Internet of Things Journal. 10.1109/JIOT.2023.3344120. 11:9. (15113-15127).

    https://ieeexplore.ieee.org/document/10365527/

  • Kanduri A, Shahhosseini S, Naeini E, Alikhani H, Liljeberg P, Dutt N and Rahmani A. (2024). Edge-Centric Optimization of Multi-modal ML-Driven eHealth Applications. Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing. 10.1007/978-3-031-40677-5_5. (95-125).

    https://link.springer.com/10.1007/978-3-031-40677-5_5

  • Xu W, Yin Y, Chen N and Tu H. (2023). Collaborative Inference Acceleration Integrating DNN Partitioning and Task Offloading in Mobile Edge Computing. International Journal of Software Engineering and Knowledge Engineering. 10.1142/S0218194023410085. 33:11n12. (1835-1863). Online publication date: 1-Dec-2023.

    https://www.worldscientific.com/doi/10.1142/S0218194023410085

  • Kannan T, Feamster N and Hoffmann H. Prediction Privacy in Distributed Multi-Exit Neural Networks: Vulnerabilities and Solutions. Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security. (1123-1137).

    https://doi.org/10.1145/3576915.3623069

  • Bajpai D, Trivedi V, Yadav S and Hanawal M. SplitEE: Early Exit in Deep Neural Networks with Split Computing. Proceedings of the Third International Conference on AI-ML Systems. (1-9).

    https://doi.org/10.1145/3639856.3639873

  • Dong F, Wang H, Shen D, Huang Z, He Q, Zhang J, Wen L and Zhang T. (2023). Multi-Exit DNN Inference Acceleration Based on Multi-Dimensional Optimization for Edge Intelligence. IEEE Transactions on Mobile Computing. 22:9. (5389-5405). Online publication date: 1-Sep-2023.

    https://doi.org/10.1109/TMC.2022.3172402

  • Pacheco R, Shifrin M, Couto R, Menasché D, Hanawal M and Campista M. (2023). AdaEE: Adaptive Early-Exit DNN Inference Through Multi-Armed Bandits ICC 2023 - IEEE International Conference on Communications. 10.1109/ICC45041.2023.10279243. 978-1-5386-7462-8. (3726-3731).

    https://ieeexplore.ieee.org/document/10279243/

  • Zhang S, Cui W, Chen Q, Zhang Z, Guan Y, Leng J, Li C and Guo M. PAME. Proceedings of the 36th ACM International Conference on Supercomputing. (1-12).

    https://doi.org/10.1145/3524059.3532366