537
edits
Line 47: | Line 47: | ||
**(3) Swift: Delay is Simple and Effective for Congestion Control in the Datacenter[https://dl.acm.org/doi/pdf/10.1145/3387514.3406591] Sigcomm 20 | **(3) Swift: Delay is Simple and Effective for Congestion Control in the Datacenter[https://dl.acm.org/doi/pdf/10.1145/3387514.3406591] Sigcomm 20 | ||
*4. AI for Network | *4. AI for Network I | ||
**(1) SmartEntry: Mitigating Routing Update Overhead with Reinforcement Learning for Traffic Engineering [https://dl.acm.org/doi/pdf/10.1145/3405671.3405813] Sigcomm workshop 20 | **(1) SmartEntry: Mitigating Routing Update Overhead with Reinforcement Learning for Traffic Engineering [https://dl.acm.org/doi/pdf/10.1145/3405671.3405813] Sigcomm workshop 20 | ||
**(2) Event-Triggered Communication Network with Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning [https://arxiv.org/pdf/2010.04978.pdf] AAAI 21 | **(2) Event-Triggered Communication Network with Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning [https://arxiv.org/pdf/2010.04978.pdf] AAAI 21 | ||
**(3) Learning Scheduling Algorithms for Data Processing Clusters [https://arxiv.org/pdf/1810.01963.pdf] Sigcomm 19 | **(3) Learning Scheduling Algorithms for Data Processing Clusters [https://arxiv.org/pdf/1810.01963.pdf] Sigcomm 19 | ||
*5. AI for Network | *5. AI for Network II | ||
**(1) | **(1) SmartEntry: Mitigating Routing Update Overhead with Reinforcement Learning for Traffic Engineering [https://dl.acm.org/doi/pdf/10.1145/3387514.3405859] Sigcomm workshop 20 | ||
**(2) | **(2) Interpreting Deep Learning-Based Networking Systems [https://dl.acm.org/doi/pdf/10.1145/3387514.3405859]Sigcomm 20 | ||
**(3) | **(3) PCF: Provably Resilient Flexible Routing [https://dl.acm.org/doi/pdf/10.1145/3387514.3405858] | ||
==Schedule== | ==Schedule== |
edits