PhD Researcher in Goal-Oriented Communications for Federated Learning
Il y a 2 mois
About the Position
This PhD position is part of the Nokia-Inria Federated Learning Challenge, hosted within the MARACAS team at CITI Laboratory (a joint venture between Inria and INSA-Lyon). You will be supervised by Dr. Malcolm Egan and Prof. Jean-Marie Gorce (MARACAS), alongside Dr. Alberto Conte and Marie-Line Alberia Morel (Networks Systems and Security Research, Nokia Bell Labs).
MARACAS is a research group of approximately 15 individuals, including PhD students, postdocs, and research engineers. Our focus lies in the theory, algorithms, and experimentation for communication systems, developing and applying methods in information theory, statistical signal processing, and machine learning.
Project Focus
The Inria-Nokia Federated Learning Challenge aims to develop federated and decentralized learning architectures and algorithms for future generation wireless communication systems. Federated learning enables model estimation (e.g., training of deep neural networks) without directly transferring client data to a central server. Instead, clients estimate local models and exchange parameters or gradients with the server, significantly reducing communication requirements and enhancing privacy.
This PhD position will explore two key questions:
- How do constraints imposed by realistic wireless communication links affect state-of-the-art federated learning methods?
- How can massive multiple access communications (e.g., coding, resource allocation, and signal processing) be optimized for advanced federated learning algorithms?
To address these questions, we will investigate the impact of wireless communication on the convergence of existing federated learning algorithms. We will also develop new resource allocation, compression, and coding schemes to mitigate errors arising from wireless communications.
Responsibilities
- Analyze the convergence of state-of-the-art federated learning methods in the context of emerging 6G wireless communication systems.
- Develop innovative coding, resource allocation, and compression schemes to minimize the impact of errors introduced by wireless communications.
Qualifications
- Strong foundation in optimization theory, probability theory/statistics, and wireless communications.
- Familiarity with stochastic optimization algorithms and their convergence theory is highly desirable.
Benefits
This PhD position offers a unique opportunity to contribute to cutting-edge research in the field of federated learning for wireless communication. You will work alongside leading experts in the field and have access to state-of-the-art resources.
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Villeurbanne, Auvergne-Rhône-Alpes, France INRIA Temps pleinAbout the ProjectThis PhD position is part of the Nokia-Inria Federated Learning Challenge and will be hosted within the MARACAS team in the CITI Laboratory, a joint laboratory between Inria and INSA-Lyon. The position will be supervised by Dr Malcolm Egan and Prof. Jean-Marie Gorce (MARACAS) and Dr Alberto Conte and Marie-Line Alberia Morel (Networks...
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Villeurbanne, Auvergne-Rhône-Alpes, France INRIA Temps pleinJob DescriptionWe are seeking a highly motivated and talented PhD researcher to join our team at INRIA, working on federated learning and wireless communication systems for 6G networks.Context and ObjectivesThis PhD position is part of the Nokia-Inria Federated Learning Challenge, and will be hosted within the MARACAS team in the CITI Laboratory. The...
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Villeurbanne, Auvergne-Rhône-Alpes, France INRIA Temps pleinJob DescriptionContext and OpportunitiesThis PhD position is part of the Nokia-Inria Federated Learning Challenge, hosted within the MARACAS team in the CITI Laboratory. The position will be supervised by Dr Malcolm Egan and Prof. Jean-Marie Gorce (MARACAS) and Dr Alberto Conte and Marie-Line Alberia Morel (Networks Systems and Security Research, Nokia Bell...
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Villeurbanne, Auvergne-Rhône-Alpes, France INRIA Temps pleinAbout the PositionWe are seeking a highly motivated and talented PhD researcher to join our team at INRIA, working on the development of federated and decentralized learning architectures and algorithms for future generation wireless communication systems.Research FocusThe focus of this PhD position is on the impact of constraints imposed by realistic...
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Villeurbanne, Auvergne-Rhône-Alpes, France INRIA Temps pleinAbout the ProjectThis PhD position is part of the Nokia-Inria Federated Learning Challenge and will be hosted within the MARACAS team in the CITI Laboratory, a joint laboratory between Inria and INSA-Lyon. The position will be supervised by Dr Malcolm Egan and Prof. Jean-Marie Gorce (MARACAS) and Dr Alberto Conte and Marie-Line Alberia Morel (Networks...
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Villeurbanne, Auvergne-Rhône-Alpes, France INRIA Temps pleinAbout the PositionWe are seeking a highly motivated and talented PhD researcher to join our team at INRIA, working on federated learning and wireless communications for 6G systems.Research FocusThe successful candidate will be part of a research project focused on developing federated learning architectures and algorithms for future generation wireless...
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Villeurbanne, Auvergne-Rhône-Alpes, France INRIA Temps pleinAbout the PositionThis PhD position is part of the Nokia-Inria Federated Learning Challenge, a collaborative project between INRIA and Nokia Bell Labs. The successful candidate will be hosted within the MARACAS team in the CITI Laboratory, a joint research laboratory between INRIA and INSA-Lyon.Research FocusThe focus of this PhD position is on the...
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Villeurbanne, Auvergne-Rhône-Alpes, France INRIA Temps pleinJob DescriptionThis PhD position is part of the Nokia-Inria Federated Learning Challenge project, which aims to develop federated and decentralized learning architectures and algorithms for future generation wireless communication systems.Context and ObjectivesThe PhD student will work on the development of federated learning algorithms for wireless...
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Villeurbanne, Auvergne-Rhône-Alpes, France INRIA Temps pleinJob Opportunity at INRIA We are seeking a postdoctoral researcher to join our team at INRIA Lyon, funded by the PEPR Networks of the Future programme. The candidate will be hosted within the MARACAS team in the CITI Laboratory, working primarily with Dr. Malcolm Egan. This national French collaboration offers opportunities for interactions with other...
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Villeurbanne, Auvergne-Rhône-Alpes, France INRIA Temps pleinContext and Benefits of the PositionThis postdoctoral research position is part of the PEPR Networks of the Future programme, a national French collaboration. The candidate will be hosted within the MARACAS team in the CITI Laboratory, working primarily with Dr. Malcolm Egan. The programme focuses on developing fundamental and applied research towards future...
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Villeurbanne, Auvergne-Rhône-Alpes, France INRIA Temps pleinResearch OpportunityWe are seeking a highly motivated postdoctoral researcher to contribute to the development of advanced machine learning approaches for wireless communications systems. The successful candidate will work on the technique of channel charting and devise innovative theoretical approaches for distributed, real-time dimensionality reduction...
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Villeurbanne, Auvergne-Rhône-Alpes, France INRIA Temps pleinJob DescriptionContext and Key FeaturesThe successful candidate will contribute to the development of advanced machine learning approaches for the processing of real-time signals in wireless communications systems. This involves devising innovative theoretical approaches for distributed, real-time dimensionality reduction applied to multi-sensor systems,...
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Villeurbanne, Auvergne-Rhône-Alpes, France INRIA Temps pleinJob DescriptionContext and Key FeaturesWe are seeking a highly skilled postdoctoral researcher to contribute to the development of advanced machine learning approaches for real-time signal processing in wireless communications systems. The successful candidate will work on the technique of channel charting and devise innovative theoretical approaches for...
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Villeurbanne, Auvergne-Rhône-Alpes, France INRIA Temps pleinJob DescriptionContext and Key FeaturesWe are seeking a highly skilled postdoctoral researcher to contribute to the development of advanced machine learning approaches for real-time signal processing in wireless communications systems. The successful candidate will work on the technique of channel charting and devise innovative theoretical approaches for...
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Villeurbanne, Auvergne-Rhône-Alpes, France INRIA Temps pleinJob Context and RequirementsThe successful candidate will contribute to the development of advanced machine learning approaches for the processing of real-time signals in wireless communications systems. This involves devising innovative theoretical approaches for distributed, real-time dimensionality reduction applied to multi-sensor systems, prototyping...
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Villeurbanne, Auvergne-Rhône-Alpes, France INRIA Temps pleinJob Context and RequirementsWe are seeking a highly skilled postdoctoral researcher to contribute to the development of advanced machine learning approaches for processing real-time signals in wireless communications systems.The successful candidate will devise innovative theoretical approaches for distributed, real-time dimensionality reduction applied to...
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Villeurbanne, Auvergne-Rhône-Alpes, France INRIA Temps pleinAbout the OpportunityInria has a postdoctoral research position available in the MARACAS team, focused on developing advanced machine learning approaches for real-time signal processing in wireless communication systems.Mission and ResponsibilitiesThe successful candidate will contribute to the development of novel machine learning techniques for...
