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Advanced Topics in AI for Computing and Networking (Summer 2024) (view source)

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==List of Papers ==
==List of Papers ==
1. FedAdapter: Efficient Federated Learning for Modern NLP [https://arxiv.org/pdf/2205.10162.pdf]
1. ZGaming: Zero-Latency 3D Cloud Gaming by Image Prediction [https://dl.acm.org/doi/10.1145/3603269.3604819]


2. AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving [https://dl.acm.org/doi/10.1145/3570361.3592517]
2. AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving [https://dl.acm.org/doi/10.1145/3570361.3592517]
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6. Practically Adopting Human Activity Recognition [https://dl.acm.org/doi/10.1145/3570361.3613299]
6. Practically Adopting Human Activity Recognition [https://dl.acm.org/doi/10.1145/3570361.3613299]


7. Cosmo: Contrastive Fusion Learning with Small Data for Multimodal Human Activity Recognition [https://dl.acm.org/doi/pdf/10.1145/3495243.3560519]
7. AGO: Boosting Mobile AI Inference Performance by Removing Constraints on Graph Optimization. [https://ieeexplore.ieee.org/document/10228858]


8. Learning for Crowdsourcing: Online Dispatch for Video Analytics with Guarantee [https://ieeexplore.ieee.org/document/9796960]  
8. Energy-Efficient 360-Degree Video Streaming on Multicore-Based Mobile Devices [https://ieeexplore.ieee.org/document/10228863]  


9. CASVA: Configuration-Adaptive Streaming for Live Video Analytics [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9796875]
9. Hawkeye: A Dynamic and Stateless Multicast Mechanism with Deep Reinforcement Learning [https://ieeexplore.ieee.org/document/10228869]


10. Batch Adaptative Streaming for Video Analytics [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9796853]
10. WiseCam: Wisely Tuning Wireless Pan-Tilt Cameras for Cost-Effective Moving Object Tracking [https://ieeexplore.ieee.org/document/10228926]


11. FlexPatch: Fast and Accurate Object Detection for On-device High-Resolution Live Video Analytics [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9796984]
11. Two-level Graph Caching for Expediting Distributed GNN Training [https://ieeexplore.ieee.org/document/10228911]


12. AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9796732]
12. From Ember to Blaze: Swift Interactive Video Adaptation via Meta-Reinforcement Learning [https://ieeexplore.ieee.org/document/10228909]


13. RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9796944]
13. HTNet: Dynamic WLAN Performance Prediction using Heterogenous Temporal GNN [https://ieeexplore.ieee.org/document/10229047]


14. Deep Reinforcement Learning-Based Control Framework for Radio Access Networks [https://dl.acm.org/doi/pdf/10.1145/3495243.3558276?casa_token=IlUioU8GgjwAAAAA:ygqCMlQv28WBdO-z65UXYjJIoeVoyEiwVI00D5nw_cNW0N6aHZCEdBzqt5r2A8jGT7pYuU8xJMJGIrs]
14. AccDecoder: Accelerated Decoding for Neural-enhanced Video Analytics [https://ieeexplore.ieee.org/document/10228933]


15. NeuLens: Spatial-based Dynamic Acceleration of Convolutional Neural Networks on Edge [https://dl.acm.org/doi/pdf/10.1145/3495243.3560528?casa_token=mrLc2kitFkcAAAAA:lKf6MnXcwXxhr0SrODcIX7qP7DrthKc_yp7jZ-2MYoxmnutM4lHPuYXD5DrLrBjS38S15TbVwPSD-NA]
15. DTrust: Toward Dynamic Trust Levels Assessment in Time-Varying Online Social Networks [https://ieeexplore.ieee.org/document/10228962]


16. FeCo: Boosting Intrusion Detection Capability in IoT Networks via Contrastive Learning [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9796926]
16. Federated Few-Shot Learning for Mobile NLP [https://dl.acm.org/doi/10.1145/3570361.3613277]


17. TrojanFlow: A Neural Backdoor Attack to Deep Learning-based Network Traffic Classifiers [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9796878]
17. A Joint Analysis of Input Resolution and Quantization Precision in Deep Learning [https://dl.acm.org/doi/10.1145/3570361.3615753]


18. Mousika: Enable General In-Network Intelligence in Programmable Switches by Knowledge Distillation [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9796936]
18. Automated Spray Control using Deep Learning and Image Processing [https://dl.acm.org/doi/10.1145/3570361.3615757]


19. Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers [https://www.usenix.org/conference/nsdi22/presentation/bhardwaj]
19. Cross-Modal Perception for Customer Service [https://dl.acm.org/doi/10.1145/3570361.3615751]


20. Top-K Deep Video Analytics: A Probabilistic Approach [https://dl.acm.org/doi/pdf/10.1145/3448016.3452786]
20. Cross-modal meta-learning for WiFi-based human activity recognition [https://dl.acm.org/doi/10.1145/3570361.3615754]


==Schedule==
==Schedule==
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*Final Report:
*Final Report:
**Essay (~6 pages, double column, IEEE format: https://journals.ieeeauthorcenter.ieee.org/create-your-ieee-journal-article/authoring-tools-and-templates/ieee-article-templates/templates-for-transactions/)
**Essay (~6 pages, double column, IEEE format: https://journals.ieeeauthorcenter.ieee.org/create-your-ieee-journal-article/authoring-tools-and-templates/ieee-article-templates/templates-for-transactions/)
**Due by 23:59pm 15th February.
**Due by 23:59pm 15th August.


[[Category:Courses]]
[[Category:Courses]]
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