MORE | Management of Real-time Energy Data - Papers in important conferences

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Five new MORE papers have been accepted in important conferences!

1. Prequential Model Selection for Time Series Forecasting based on Saliency Maps
   Authors: Shivani Tomar, Seshu Tirupathi, Dhaval Vinodbhai Salwala, Ivana Dusparic, and Elizabeth Daly
   Accepted at: 2022 IEEE International Conference on Big Data Workshop Title: 7th Workshop on Real-time Stream Analytics, Stream Mining, CER/CEP & Stream Data Management in Big Data
2. Distributed Incremental Machine Learning for Big Time Series Data
   Authors: Dhaval Salwala, Seshu Tirupathi, Brian Quanz, Wesley Gifford, Stuart Siegel, Vijay Ekambaram, and Arindam Jati
   Accepted at: 2022 IEEE International Conference on Big Data Industry and Government Program.
3. Federated Continual Learning with Differentially Private Data Sharing
   Authors: Giulio Zizzo, Ambrish Rawat, Naoise Holohan and Seshu Tirupathi
   Accepted at: International Workshop on Federated Learning: Recent Advances and New Challenges in Conjunction with NeurIPS 2022 (FL-NeurIPS'22)
4. Scalable Distributed Computing Systems for Incremental Machine Learning in Big Data Applications
   Authors: Dhaval Salwala, Seshu Tirupathi, Brian Quanz, Wesley Gifford, Stuart Siegel
   Accepted at: INFORMS Annual Meeting 2022
5. Machine Learning Platform for Extreme Scale Computing on Compressed IoT Data
   Authors: Seshu Tirupathi, Dhaval Salwala, Giulio Zizzo, Ambrish Rawat, Mark Purcell, Søren Kejser Jensen, Christian Thomsen, Nguyen Ho, Carlos E. Muniz Cuza, Jonas Brusokas, Torben Bach Pedersen, Giorgos Alexiou, Giorgos Giannopoulos, Panagiotis Gidarakos, Alexandros Kalimeris, Stavros Maroulis, George Papastefanatos, Ioannis Psarros, Vassilis Stamatopoulos, and Manolis Terrovitis
   Accepted at: 2022 IEEE International Conference on Big Data Workshop IWBDR-3

21 Nov 2022