Search Results for author: Fatemeh Golpayegani

Found 6 papers, 0 papers with code

subMFL: Compatiple subModel Generation for Federated Learning in Device Heterogenous Environment

no code implementations30 May 2024 Zeyneddin Oz, Ceylan Soygul Oz, Abdollah Malekjafarian, Nima Afraz, Fatemeh Golpayegani

FL training process enables such devices to update the weights of a shared model locally using their local data and then a trusted central server combines all of those models to generate a global model.

Ontology-Enhanced Decision-Making for Autonomous Agents in Dynamic and Partially Observable Environments

no code implementations27 May 2024 Saeedeh Ghanadbashi, Fatemeh Golpayegani

Compared to traditional and advanced learning algorithms, OntoDeM shows superior performance in improving agents' observations and decision-making in dynamic, partially observable environments.

DVS-RG: Differential Variable Speed Limits Control using Deep Reinforcement Learning with Graph State Representation

no code implementations15 May 2024 Jingwen Yang, Ping Wang, Fatemeh Golpayegani, Shen Wang

Variable speed limit (VSL) control is an established yet challenging problem to improve freeway traffic mobility and alleviate bottlenecks by customizing speed limits at proper locations based on traffic conditions.

An Adaptive System Architecture for Multimodal Intelligent Transportation Systems

no code implementations13 Feb 2024 Muhammad Farooq, Nima Afraz, Fatemeh Golpayegani

In this paper, we provide an adaptive, user-centric, and layered architecture for multimodal transportation systems.

Data Integration Decision Making

On the Sum Secrecy Rate Maximisation for Wireless Vehicular Networks

no code implementations31 Jan 2024 Muhammad Farooq, Le-Nam Tran, Fatemeh Golpayegani, Nima Afraz

We address these security concerns from a physical layer security aspect by investigating achievable secrecy rates in wireless vehicular networks.

Multi-Value Alignment in Normative Multi-Agent System: Evolutionary Optimisation Approach

no code implementations12 May 2023 Maha Riad, Vinicius Renan de Carvalho, Fatemeh Golpayegani

Value-alignment in normative multi-agent systems is used to promote a certain value and to ensure the consistent behavior of agents in autonomous intelligent systems with human values.

Evolutionary Algorithms

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