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Advanced Topics in AI for Networking (Summer 2023): Difference between revisions
Advanced Topics in AI for Networking (Summer 2023) (view source)
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14. Top-K Deep Video Analytics: A Probabilistic Approach [https://dl.acm.org/doi/pdf/10.1145/3448016.3452786] | 14. Top-K Deep Video Analytics: A Probabilistic Approach [https://dl.acm.org/doi/pdf/10.1145/3448016.3452786] | ||
15. Delay-Aware Microservice Coordination in Mobile Edge Computing: A Reinforcement Learning Approach [https://ieeexplore.ieee.org/document/8924682] | |||
16. Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments Using A3C Learning and Residual Recurrent Neural Networks [https://ieeexplore.ieee.org/document/9169832] | |||
17. Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing [https://ieeexplore.ieee.org/document/9492755] | |||
18. Leveraging Deep Reinforcement Learning With Attention Mechanism for Virtual Network Function Placement and Routing [https://ieeexplore.ieee.org/document/10029903] | |||
19. Pyramid: Enabling Hierarchical Neural Networks with Edge Computing [https://dl.acm.org/doi/10.1145/3485447.3511990] | |||
20. Index-aware reinforcement learning for adaptive video streaming at the wireless edge [https://dl.acm.org/doi/10.1145/3492866.3549726] | |||
==Schedule== | ==Schedule== | ||
W1: Open Talk (13.4) | W1: Open Talk (13.4) | ||
W2: | W2: Select papers and create schedule | ||
W4: Paper ID: | W4: Paper ID: | ||
W6: ... | |||
W8: ... | |||
W10: ... | |||
W12: ... | |||
W14: .. | |||
'''!! xx.xx deadline for registration on Flexnow''' | '''!! xx.xx deadline for registration on Flexnow''' | ||