Results 1 to 10 of about 372,815 (164)

Sparse Communication for Policy Shaping in Multi-Agent Reinforcement Learning [PDF]

Sensors
Efficient coordination under limited communication is a central challenge in multi-agent reinforcement learning (MARL). Existing approaches often focus on message exchange without explicitly modeling how communication affects policy learning, leading to ...
Jiahao Li, Renjie Li, Nan Wang
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FedOpt: Towards Communication Efficiency and Privacy Preservation in Federated Learning

Applied Sciences, 2020
Artificial Intelligence (AI) has been applied to solve various challenges of real-world problems in recent years. However, the emergence of new AI technologies has brought several problems, especially with regard to communication efficiency, security ...
Muhammad Asad, Ahmed Moustafa, Takayuki Ito   +2 more
doaj   +3 more sources

Cooperative Design of Ranging and Communication for In-Band Full-Duplex Inter-Satellite Links [PDF]

Sensors
To address the limited communication capacity of the traditional time-division half-duplex (TDHD) systems in BDS-3 inter-satellite links (ISLs), this paper proposes a cooperative design of ranging and communication based on an in-band full-duplex (IBFD ...
Hao Feng, Zhuo Yang, Hong Ma, Yiwen Jiao, Tao Wu, Yang Cai, Hongbin Ma, Zhiyong Shan   +7 more
doaj   +2 more sources

Graph MADDPG with RNN for multiagent cooperative environment

Frontiers in Neurorobotics, 2023
Multiagent systems face numerous challenges due to environmental uncertainty, with scalability being a critical issue. To address this, we propose a novel multi-agent cooperative model based on a graph attention network.
Xiaolong Wei, Xiaolong Wei, WenPeng Cui, Xianglin Huang, LiFang Yang, Zhulin Tao, Bing Wang   +6 more
doaj   +1 more source

Communication-Efficient Distributed Learning for High-Dimensional Support Vector Machines

Mathematics, 2022
Distributed learning has received increasing attention in recent years and is a special need for the era of big data. For a support vector machine (SVM), a powerful binary classification tool, we proposed a novel efficient distributed sparse learning ...
Xingcai Zhou, Hao Shen
doaj   +1 more source

Efficient communication and indexicality [PDF]

Mathematical Social Sciences, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Communication-Efficient Federated Learning with Adaptive Consensus ADMM

Applied Sciences, 2023
This paper proposes utilizing federated learning (FL), a distributed learning paradigm, to process large, decentralized, and heterogeneous edge data in the context of Internet of Things (IoT) devices.
Siyi He, Jiali Zheng, Minyu Feng, Yixin Chen   +3 more
doaj   +1 more source

Decentralised federated learning with adaptive partial gradient aggregation

CAAI Transactions on Intelligence Technology, 2020
Federated learning aims to collaboratively train a machine learning model with possibly geo-distributed workers, which is inherently communication constrained.
Jingyan Jiang, Liang Hu
doaj   +1 more source

Communication-efficient randomized consensus [PDF]

Distributed Computing, 2014
ISSN:1432 ...
Alistarh, Dan, Aspnes, James, King, Valerie, Saia, Jared   +3 more
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Efficient communication in unknown networks [PDF]

Networks, 2000
AbstractWe consider the problem of disseminating messages in networks. We are interested in information dissemination algorithms in which machines operate independently without any knowledge of the network topology or size. Three communication tasks of increasing difficulty are studied.
GARGANO, Luisa, A. PELC, S. PERENNES, VACCARO, Ugo   +3 more
openaire   +5 more sources