Advanced Topics in AI for Networking (Summer 2023) - Revision history

Yuan4: /* Schedule */

2023-04-13T07:58:50Z

Schedule

← Older revision		Revision as of 09:58, 13 April 2023
Line 75:		Line 75:
	W1: Open Talk (13.4)		W1: Open Talk (13.4)

	W2: ~~Assignment~~ papers		W2: Select papers and create schedule

	W4: Paper ID:		W4: Paper ID:

2023-04-13T07:57:41Z

Schedule

← Older revision		Revision as of 09:57, 13 April 2023
Line 79:		Line 79:
	W4: Paper ID:		W4: Paper ID:

	W...		W6: ...

	W10: ~~Rehearsal~~:		W8: ...

			W10: ...

			W12: ...

			W14: ..

	'''!! xx.xx deadline for registration on Flexnow'''		'''!! xx.xx deadline for registration on Flexnow'''

2023-04-12T16:13:13Z

List of Papers

← Older revision		Revision as of 18:13, 12 April 2023
Line 70:		Line 70:
	19. Pyramid: Enabling Hierarchical Neural Networks with Edge Computing [https://dl.acm.org/doi/10.1145/3485447.3511990]		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 [~~Index-aware reinforcement learning for adaptive video streaming at the wireless edge~~]		20. Index-aware reinforcement learning for adaptive video streaming at the wireless edge [https://dl.acm.org/doi/10.1145/3492866.3549726]

	==Schedule==		==Schedule==

2023-04-12T16:11:56Z

List of Papers

← Older revision		Revision as of 18:11, 12 April 2023
Line 70:		Line 70:
	19. Pyramid: Enabling Hierarchical Neural Networks with Edge Computing [https://dl.acm.org/doi/10.1145/3485447.3511990]		19. Pyramid: Enabling Hierarchical Neural Networks with Edge Computing [https://dl.acm.org/doi/10.1145/3485447.3511990]

	20.		20. Index-aware reinforcement learning for adaptive video streaming at the wireless edge [Index-aware reinforcement learning for adaptive video streaming at the wireless edge]

	==Schedule==		==Schedule==

2023-04-12T16:08:28Z

List of Papers

← Older revision		Revision as of 18:08, 12 April 2023
Line 68:		Line 68:
	18. Leveraging Deep Reinforcement Learning With Attention Mechanism for Virtual Network Function Placement and Routing [https://ieeexplore.ieee.org/document/10029903]		18. Leveraging Deep Reinforcement Learning With Attention Mechanism for Virtual Network Function Placement and Routing [https://ieeexplore.ieee.org/document/10029903]

	19. []		19. Pyramid: Enabling Hierarchical Neural Networks with Edge Computing [https://dl.acm.org/doi/10.1145/3485447.3511990]

			20.

	==Schedule==		==Schedule==

2023-04-12T16:05:43Z

List of Papers

← Older revision		Revision as of 18:05, 12 April 2023
Line 68:		Line 68:
	18. Leveraging Deep Reinforcement Learning With Attention Mechanism for Virtual Network Function Placement and Routing [https://ieeexplore.ieee.org/document/10029903]		18. Leveraging Deep Reinforcement Learning With Attention Mechanism for Virtual Network Function Placement and Routing [https://ieeexplore.ieee.org/document/10029903]

	19.		19. []

	==Schedule==		==Schedule==

2023-04-12T15:55:15Z

List of Papers

← Older revision		Revision as of 17:55, 12 April 2023
Line 65:		Line 65:

	17. Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing [https://ieeexplore.ieee.org/document/9492755]		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.

	==Schedule==		==Schedule==

2023-04-12T15:42:55Z

List of Papers

← Older revision		Revision as of 17:42, 12 April 2023
Line 63:		Line 63:

	16. Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments Using A3C Learning and Residual Recurrent Neural Networks [https://ieeexplore.ieee.org/document/9169832]		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]

	==Schedule==		==Schedule==

2023-04-12T15:38:48Z

List of Papers

← Older revision		Revision as of 17:38, 12 April 2023
Line 61:		Line 61:

	15. Delay-Aware Microservice Coordination in Mobile Edge Computing: A Reinforcement Learning Approach [https://ieeexplore.ieee.org/document/8924682]		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]

	==Schedule==		==Schedule==

2023-04-12T15:35:11Z

List of Papers

← Older revision		Revision as of 17:35, 12 April 2023
Line 59:		Line 59:

	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]

	==Schedule==		==Schedule==