Sybil Attacks on Federated Learning
Data Skeptic
English - November 13, 2020 18:25 - 31 minutes - 36.1 MB - ★★★★★ - 477 ratingsScience Technology machinelearning datamining datascience science skepticism statistics Homepage Download IPFS Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
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Clement Fung, a Societal Computing PhD student at Carnegie Mellon University, discusses his research in security of machine learning systems and a defense against targeted sybil-based poisoning called FoolsGold.
Works Mentioned:
The Limitations of Federated Learning in Sybil Settings
Twitter:
@clemfung
Website:
https://clementfung.github.io/
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