Advanced topics in mobile and social computing (AToMSC) (Winter 2021/2022): Difference between revisions

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Advanced topics in mobile and social computing (AToMSC) (Winter 2021/2022) (view source)

Revision as of 18:10, 13 July 2021

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==List of Papers ==
==List of Papers ==
*1. Video streaming in NN-based system (''Occupied'')
**(1) Neural Adaptive Content-aware Internet Video Delivery [https://dl.acm.org/doi/10.5555/3291168.3291216] OSDI'18
**(2) Neural-Enhanced Live Streaming: Improving Live Video Ingest via Online Learning [https://dl.acm.org/doi/abs/10.1145/3387514.3405856] Sigcomm'20
**(3) NEMO: Enabling Neural-enhanced Video Streaming on Commodity Mobile Devices [https://dl.acm.org/doi/10.1145/3372224.3419185] Mobicom'20
*2. Network for Distributed Learning (''Occupied'')
**(1) Is Network the Bottleneck of Distributed Training? [https://dl.acm.org/doi/pdf/10.1145/3405671.3405810]  Sigcomm workshop 20
**(2) Domain-specific Communication Optimization for Distributed DNN Training [https://arxiv.org/pdf/2008.08445.pdf] arxiv
**(3) PipeDream: generalized pipeline parallelism for DNN training[https://dl-1acm-1org-12xpm0nrgacbe.han.sub.uni-goettingen.de/doi/pdf/10.1145/3341301.3359646] SOSP ’19
*3. Network Control
**(1) Neural Packet Routing [https://dl.acm.org/doi/pdf/10.1145/3405671.3405813] Sigcomm workshop 20
**(2) OmniMon: Re-architecting Network Telemetry with Resource Efficiency and Full Accuracy [https://dl.acm.org/doi/pdf/10.1145/3387514.3405877] 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 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
**(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
*5. AI for Network II (''Occupied'')
**(1) Challenges in Using ML for Networking Research: How to Label If You Must [https://ix.cs.uoregon.edu/~ram/papers/NetAI-2020.pdf]  Sigcomm workshop 20
**(2) Interpreting Deep Learning-Based Networking Systems [https://dl.acm.org/doi/pdf/10.1145/3387514.3405859]Sigcomm 20
**(3) PCF: Provably Resilient Flexible Routing [https://dl.acm.org/doi/pdf/10.1145/3387514.3405858] Sigcomm 20


==Schedule==
==Schedule==
Yuan4
540

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