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Efficient Secure Aggregation for Federated Learning

Efficient Secure Aggregation for Federated Learning

Federated Learning: The new dawn of Machine Learning for IoT |...

Federated Learning: The new dawn of Machine Learning for IoT |...

Federated Learning: State of the Art, Current Trends and Challenges

Federated Learning: State of the Art, Current Trends and Challenges

8 viewsNov 17, 2021

15 reactions | With federated learning, edge devices update a shared global model while keeping local data on-device. At #NeurIPS2022, applied scientist Huili Chen and her colleagues present a new training procedure that explicitly factors in the heterogeneity of data across devices, improving model accuracy both globally and locally: amzn.to/3YaLvMj #MachineLearning | Amazon Science | Facebook

15 reactions | With federated learning, edge devices update a s…

243 views2 weeks ago

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Challenges of Blended Learning Models

Challenges of Blended Learning Models

62K viewsNov 30, 2020

The latest #InTechnology podcast explores #FederatedLearning, an #AI breakthrough that’s reshaping data privacy and security. Discover how this technology can overcome adoption challenges and revolutionize collaboration in the biopharma industry by enabling secure research and development. Join Prashant Shah, Intel's CTO for Federated AI Products, and Camille Morhardt as they speak with Abhishek Pandey of AbbVie about the potential of federated learning to protect sensitive data while driving in

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Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2 | Amazon Web Services

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