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09/11/2023
Practical Homomorphic Aggregation for Byzantine ML
Due to the large-scale availability of data, machine learning (ML) algor...
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02/09/2023
Distributed Learning with Curious and Adversarial Machines
The ubiquity of distributed machine learning (ML) in sensitive public do...
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09/30/2022
SoK: On the Impossible Security of Very Large Foundation Models
Large machine learning models, or so-called foundation models, aim to se...
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09/22/2022
Making Byzantine Decentralized Learning Efficient
Decentralized-SGD (D-SGD) distributes heavy learning tasks across multip...
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05/24/2022
Byzantine Machine Learning Made Easy by Resilient Averaging of Momentums
Byzantine resilience emerged as a prominent topic within the distributed...
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10/08/2021
Combining Differential Privacy and Byzantine Resilience in Distributed SGD
Privacy and Byzantine resilience (BR) are two crucial requirements of mo...
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02/16/2021