Zobrazeno 1 - 10
of 134
pro vyhledávání: '"Yi Yuhao"'
Distributed learning has become the standard approach for training large-scale machine learning models across private data silos. While distributed learning enhances privacy preservation and training efficiency, it faces critical challenges related t
Externí odkaz:
http://arxiv.org/abs/2409.08640
Federated learning is often used in environments with many unverified participants. Therefore, federated learning under adversarial attacks receives significant attention. This paper proposes an algorithmic framework for list-decodable federated lear
Externí odkaz:
http://arxiv.org/abs/2408.04963
Publikováno v:
AAAI 2024, 38, 16469-16477
Byzantine machine learning has garnered considerable attention in light of the unpredictable faults that can occur in large-scale distributed learning systems. The key to secure resilience against Byzantine machines in distributed learning is resilie
Externí odkaz:
http://arxiv.org/abs/2312.12835
This paper studies efficient algorithms for dynamic curing policies and the corresponding network design problems to guarantee the fast extinction of epidemic spread in a susceptible-infected-susceptible (SIS) model. We consider a Markov process-base
Externí odkaz:
http://arxiv.org/abs/2211.06028
One of the intensely studied concepts of network robustness is $r$-robustness, which is a network topology property quantified by an integer $r$. It is required by mean subsequence reduced (MSR) algorithms and their variants to achieve resilient cons
Externí odkaz:
http://arxiv.org/abs/2207.12110
Publikováno v:
In Applied Thermal Engineering 15 October 2024 255
Publikováno v:
In Measurement October 2024 238
This paper studies algorithmic strategies to effectively reduce the number of infections in susceptible-infected-recovered (SIR) epidemic models. We consider a Markov chain SIR model and its two instantiations in the deterministic SIR (D-SIR) model a
Externí odkaz:
http://arxiv.org/abs/2011.11087
Many graph products have been applied to generate complex networks with striking properties observed in real-world systems. In this paper, we propose a simple generative model for simplicial networks by iteratively using edge corona product. We prese
Externí odkaz:
http://arxiv.org/abs/2002.12219
We study diffusion and consensus dynamics in a Network of Networks model. In this model, there is a collection of sub-networks, connected to one another using a small number of links. We consider a setting where the links between networks have small
Externí odkaz:
http://arxiv.org/abs/2002.06109