Byzantine fault tolerance in distributed machine learning: a survey
ABSTRACT Byzantine Fault Tolerance (BFT) is crucial for ensuring the resilience of
Distributed Machine Learning (DML) systems during training under adversarial conditions …
Distributed Machine Learning (DML) systems during training under adversarial conditions …
Residual learning based CNN for gesture recognition in robot interaction
H Han - Journal of Information Processing Systems, 2021 - koreascience.kr
The complexity of deep learning models affects the real-time performance of gesture
recognition, thereby limiting the application of gesture recognition algorithms in actual …
recognition, thereby limiting the application of gesture recognition algorithms in actual …
Byzantine resilient non-convex SCSG with distributed batch gradient computations
Distributed learning is an important paradigm in the current machine learning algorithms
with large datasets. In this paper, distributed stochastic optimization problem of minimizing a …
with large datasets. In this paper, distributed stochastic optimization problem of minimizing a …
On Robust Machine Learning in the Presence of Adversaries
S Bulusu - 2023 - search.proquest.com
In today's highly connected world, the number of smart devices worldwide has increased
exponentially. These devices generate huge amounts of real-time data, perform complicated …
exponentially. These devices generate huge amounts of real-time data, perform complicated …