Federated Heavy Hitters Discovery with Differential Privacy

This course teaches learners about Federated Heavy Hitters Discovery with Differential Privacy, covering topics such as privacy, data analysis, federated learning, multiparty computation, open research, applications, differential privacy, algorithm parameters, results, tradeoffs, and comparisons. The course aims to help participants understand the concepts and techniques related to these topics. The intended audience for this course includes individuals interested in privacy-preserving data analysis and related fields. The teaching method involves lectures and discussions on the mentioned subjects.