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The post How Will the Emergence of 5G Affect Federated Learning? appeared first on IoT For All

As 5G expands across the globe, bandwidth and processing speed will no longer limit edge devices. When 5G becomes more prevalent, we’ll experience faster networks, more endpoints, and an increased attack surface, which could attract an influx of DDoS attacks. Concurrently, as development teams race to build out AI tools, it is becoming common to train algorithms on edge devices. Federated learning, a subset of distributed machine learning, is a relatively new approach – conceived of by Google – that allows companies to improve AI tools without accessing raw user data. As both 5G and federated learning expand and intersect, there is room for potential security concerns. In this piece, John Donegan at ManageEngine discusses what these concerns are – from man-in-the-middle attacks to model poisoning – and what businesses need to do to mitigate these privacy issues.

The post How Will the Emergence of 5G Affect Federated Learning? appeared first on IoT For All.

Source: Iot