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A tutorial on modeling and analysis of dynamic social networks. Part II
Recent years have witnessed a significant trend towards filling the gap between Social
Network Analysis (SNA) and control theory. This trend was enabled by the introduction of …
Network Analysis (SNA) and control theory. This trend was enabled by the introduction of …
Communication-efficient distributed deep learning: A comprehensive survey
Distributed deep learning (DL) has become prevalent in recent years to reduce training time
by leveraging multiple computing devices (eg, GPUs/TPUs) due to larger models and …
by leveraging multiple computing devices (eg, GPUs/TPUs) due to larger models and …
Can decentralized algorithms outperform centralized algorithms? a case study for decentralized parallel stochastic gradient descent
Most distributed machine learning systems nowadays, including TensorFlow and CNTK, are
built in a centralized fashion. One bottleneck of centralized algorithms lies on high …
built in a centralized fashion. One bottleneck of centralized algorithms lies on high …
[كتاب][B] Lectures on network systems
F Bullo, J Cortés, F Dörfler, S Martínez - 2018 - zdocs.mx
Topics These lecture notes are intended primarily for graduate students interested in
network systems, distributed algorithms, and cooperative control. The objective is to answer …
network systems, distributed algorithms, and cooperative control. The objective is to answer …
Asynchronous decentralized parallel stochastic gradient descent
Most commonly used distributed machine learning systems are either synchronous or
centralized asynchronous. Synchronous algorithms like AllReduce-SGD perform poorly in a …
centralized asynchronous. Synchronous algorithms like AllReduce-SGD perform poorly in a …
Graph theoretic methods in multiagent networks
M Mesbahi, M Egerstedt - 2010 - torrossa.com
“I don't want to achieve immortality through my work... I want to achieve it through not dying.”—
Woody Allen The emergence of (relatively) cheap sensing and actuation nodes, capable of …
Woody Allen The emergence of (relatively) cheap sensing and actuation nodes, capable of …
Heterophilious dynamics enhances consensus
We review a general class of models for self-organized dynamics based on alignment. The
dynamics of such systems is governed solely by interactions among individuals or “agents,” …
dynamics of such systems is governed solely by interactions among individuals or “agents,” …
Opinion dynamics and learning in social networks
We provide an overview of recent research on belief and opinion dynamics in social
networks. We discuss both Bayesian and non-Bayesian models of social learning and focus …
networks. We discuss both Bayesian and non-Bayesian models of social learning and focus …
Gossip algorithms for distributed signal processing
Gossip algorithms are attractive for in-network processing in sensor networks because they
do not require any specialized routing, there is no bottleneck or single point of failure, and …
do not require any specialized routing, there is no bottleneck or single point of failure, and …
Opinion dynamics in social networks with stubborn agents: Equilibrium and convergence rate
The process by which new ideas, innovations, and behaviors spread through a large social
network can be thought of as a networked interaction game: Each agent obtains information …
network can be thought of as a networked interaction game: Each agent obtains information …