When Federated Learning Meets Other Learning Algorithms: From Model Fusion to Federated X LearningFederated learning is a new learning paradigm that decouples data collection from model training via multi-party computation and model…Feb 26, 2021Feb 26, 2021
An Instruction to Writing Aalto BSc Thesis for Computer ScienceThis instruction briefs instruction about writing a literature review as your Bachelor thesis. Remember that to read a wide range of…Oct 7, 2020Oct 7, 2020
Time Series Indexing By Dynamic Covering with Cross-Range ConstraintsTime series indexing plays an important role in querying and pattern mining of big data. When indexing big time series datasets performing…May 25, 2020May 25, 2020
Attentive Federated LearningRecently, federated learning has attracted great interest from the research community under the umbrella of distributed machine learning…Jul 11, 2019Jul 11, 2019
