Abstract is missing.
- Empirical analysis of federated learning in heterogeneous environmentsAhmed M. Abdelmoniem, Chen-Yu Ho 0001, Pantelis Papageorgiou, Marco Canini. 1-9 [doi]
- Efficient multiclass classification with duetShay Vargaftik, Yaniv Ben-Itzhak. 10-19 [doi]
- Reinforcement learning for resource management in multi-tenant serverless platformsHaoran Qiu, Weichao Mao, Archit Patke, Chen Wang, Hubertus Franke, Zbigniew T. Kalbarczyk, Tamer Basar, Ravishankar K. Iyer. 20-28 [doi]
- FlexHTTP: an intelligent and scalable HTTP version selection systemMengying Zhou, Zheng Li, Shihan Lin, Xin Wang, Yang Chen. 29-36 [doi]
- Live video analytics as a serviceGuilherme H. Apostolo, Pablo Bauszat, Vinod Nigade, Henri E. Bal, Lin Wang. 37-44 [doi]
- BoGraph: structured bayesian optimization from logs for expensive systems with many parametersSami Alabed, Eiko Yoneki. 45-53 [doi]
- Deep learning on microcontrollers: a study on deployment costs and challengesFilip Svoboda, Javier Fernández-Marqués, Edgar Liberis, Nicholas D. Lane. 54-63 [doi]
- syslrn: learning what to monitor for efficient anomaly detectionDavide Sanvito, Giuseppe Siracusano, Sharan Santhanam, Roberto Gonzalez, Roberto Bifulco. 64-71 [doi]
- Data selection for efficient model update in federated learningHongrui Shi, Valentin Radu. 72-78 [doi]
- dSyncPS: delayed synchronization for dynamic deployment of distributed machine learningYibo Guo, an Wang. 79-86 [doi]
- Scaling knowledge graph embedding models for link predictionNasrullah Sheikh, Xiao Qin 0003, Berthold Reinwald, Chuan Lei. 87-94 [doi]
- Temporal shift reinforcement learningDeepak-George Thomas, Tichakorn Wongpiromsarn, Ali Jannesari 0001. 95-100 [doi]
- Apache submarine: a unified machine learning platform made simpleKai-Hsun Chen, Huan-Ping Su, Wei-Chiu Chuang, Hung-Chang Hsiao, Wangda Tan, Zhankun Tang, Xun Liu, Yanbo Liang, Wen-Chih Lo, Wanqiang Ji, Byron Hsu, Keqiu Hu, HuiYang Jian, Quan Zhou, Chien-Min Wang. 101-108 [doi]
- DyFiP: explainable AI-based dynamic filter pruning of convolutional neural networksMuhammad Sabih, Frank Hannig, Jürgen Teich. 109-115 [doi]