Distributed classification with variable distributions
Vinh Thanh Quach · 2014
When the data at a location is insufficient, one may apply a naïve solution to gather data from other (remote) places and classify it using a centralized algorithm.Although this approach has good performance, it is often infeasible due to high communication overheads and lack of scalability of the centralized solution.These concerns have led to My deepest gratitude first goes to my supervisor Dr. Ng Wee Keong, for his time, effort, support and guidance during my Master candidature.I would also like to express my gratitude to my co-supervisor, Dr. Vivekanand Gopalkrishnan, for his continuous encouragement on my research.Together, they have taught me a lot of research skills and essential knowledge that has significantly inspired and benefited me in my academic career.I would also like to thank Alex and Ardian for their valuable suggestions,