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Microsoft Research Focus 09 edition, week of February 6, 2023
微软研究院博客

Welcome to Research Focus, a new series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. In the latest episode of Behind the Tech, Microsoft CTO Kevin Scott…

This diagram shows a payload exchange between a server, inside Worker 0, and clients that live inside Workers 2 and 3. First, the server pushes the central ML model plus the clients’ data to Workers 2 and 3. Then, each client trains the model with their local data. Finally, the clients send the pseudo-gradients of this new model back to the server for aggregation and the creation of a new global model.
微软研究院博客

| Dimitrios Dimitriadis, Mirian Hipolito Garcia, Daniel Eduardo Madrigal Diaz, Andre Manoel, 和 Robert Sim

Federated learning has become a major area of machine learning (ML) research in recent years due to its versatility in training complex models over massive amounts of data without the need to share that data with a centralized entity. However,…