Advanced Topics in AI for Computing and Networking (Summer 2024): Difference between revisions

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

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 . DTrust: Toward Dynamic Trust Levels Assessment in Time-Varying Online Social Networks [https://ieeexplore.ieee.org/document/10228962]
-. FeCo: Boosting Intrusion Detection Capability in IoT Networks via Contrastive Learning [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9796926]
+. Federated Few-Shot Learning for Mobile NLP [https://dl.acm.org/doi/10.1145/3570361.3613277]
-. TrojanFlow: A Neural Backdoor Attack to Deep Learning-based Network Traffic Classifiers [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9796878]
+. A Joint Analysis of Input Resolution and Quantization Precision in Deep Learning [https://dl.acm.org/doi/10.1145/3570361.3615753]
-. Mousika: Enable General In-Network Intelligence in Programmable Switches by Knowledge Distillation [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9796936]
+. Automated Spray Control using Deep Learning and Image Processing [https://dl.acm.org/doi/10.1145/3570361.3615757]
-. Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers [https://www.usenix.org/conference/nsdi22/presentation/bhardwaj]
+. Cross-Modal Perception for Customer Service [https://dl.acm.org/doi/10.1145/3570361.3615751]
-. Top-K Deep Video Analytics: A Probabilistic Approach [https://dl.acm.org/doi/pdf/10.1145/3448016.3452786]
+. Cross-modal meta-learning for WiFi-based human activity recognition [https://dl.acm.org/doi/10.1145/3570361.3615754]
 ==Schedule==