Zobrazeno 1 - 10
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pro vyhledávání: '"Nguyen , Duong"'
We investigate the problem of agent-to-agent interaction in decentralized (federated) learning over time-varying directed graphs, and, in doing so, propose a consensus-based algorithm called DSGTm-TV. The proposed algorithm incorporates gradient trac
Externí odkaz:
http://arxiv.org/abs/2409.17189
Autor:
Baharvandi, Arash, Nguyen, Duong Tung
This paper examines the integrated generation and transmission expansion planning problem to address the growing challenges associated with increasing power network loads. The proposed approach optimizes the operation and investment costs for new gen
Externí odkaz:
http://arxiv.org/abs/2410.12508
This paper introduces the new concept of (follower) satisfaction in Stackelberg games and compares the standard Stackelberg game with its satisfaction version. Simulation results are presented which suggest that the follower adopting satisfaction gen
Externí odkaz:
http://arxiv.org/abs/2408.11340
Supply optimization is a complex and challenging task in the magazine retail industry because of the fixed inventory assumption, irregular sales patterns, and varying product and point-of-sale characteristics. We introduce AthenIA, an industrialized
Externí odkaz:
http://arxiv.org/abs/2408.08637
Edge computing promises to offer low-latency and ubiquitous computation to numerous devices at the network edge. For delay-sensitive applications, link delays can have a direct impact on service quality. These delays can fluctuate drastically over ti
Externí odkaz:
http://arxiv.org/abs/2407.06142
A significant challenge in the electroencephalogram EEG lies in the fact that current data representations involve multiple electrode signals, resulting in data redundancy and dominant lead information. However extensive research conducted on EEG cla
Externí odkaz:
http://arxiv.org/abs/2407.20247
In the field of heart disease classification, two primary obstacles arise. Firstly, existing Electrocardiogram (ECG) datasets consistently demonstrate imbalances and biases across various modalities. Secondly, these time-series data consist of divers
Externí odkaz:
http://arxiv.org/abs/2407.20249
Decentralized planning is a key element of cooperative multi-agent systems for information gathering tasks. However, despite the high frequency of agent failures in realistic large deployment scenarios, current approaches perform poorly in the presen
Externí odkaz:
http://arxiv.org/abs/2407.08254
Autor:
Nguyen, Duong Thuy Anh, Bianchi, Mattia, Dörfler, Florian, Nguyen, Duong Tung, Nedić, Angelia
Motivated by the complex dynamics of cooperative and competitive interactions within networked agent systems, multi-cluster games provide a framework for modeling the interconnected goals of self-interested clusters of agents. For this setup, the exi
Externí odkaz:
http://arxiv.org/abs/2404.14554
Beyond class frequency, we recognize the impact of class-wise relationships among various class-specific predictions and the imbalance in label masks on long-tailed segmentation learning. To address these challenges, we propose an innovative Pixel-wi
Externí odkaz:
http://arxiv.org/abs/2404.05393