136 citations · 140 across the 5 of their papers we have counts for
5 papers
Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach
Huazi Pan, Yanjun Zhang, Leo Yu Zhang +3
Manipulation of local training data and local updates, i.e., the poisoning attack, is the main threat arising from the collaborative nature of the federated learning (FL) paradigm.…
Extreme-Long-short Term Memory for Time-series Prediction
Sida Xing, Feihu Han, Suiyang Khoo
The emergence of Long Short-Term Memory (LSTM) solves the problems of vanishing gradient and exploding gradient in traditional Recurrent Neural Networks (RNN). LSTM, as a new type…
Piecewise Linear Units Improve Deep Neural Networks
Jordan Inturrisi, Sui Yang Khoo, Abbas Kouzani +1
The activation function is at the heart of a deep neural networks nonlinearity; the choice of the function has great impact on the success of training. Currently, many practitioner…
Generalized Lyapunov criteria on finite-time stability of stochastic nonlinear systems
Xin Yu, Juliang Yin, Suiyang Khoo
This paper considers the problem of finite-time stability for stochastic nonlinear systems. A new Lyapunov theorem of stochastic finite-time stability is proposed, and an important…
Domain Recurrence and Probabilistic Analysis of Residence Time of Stochastic Systems and Domain Aiming Control
Juliang Yin, Deng Ding, Suiyang Khoo
The problem of domain aiming control is formulated for controlled stochastic nonlinear systems. This issue involves regularity of the solution to the resulting closed-loop stochast…