Post-Doctoral Research Visit F/M Topology Design for Decentralized Federated Learning
Inria · Sophia Antipolis
Research instituteonsitepostdoc$37k
At a glance
Highlights
- Design communication topologies for decentralized federated learning.
- Optimize training duration balancing connectivity and round length.
- Join NEO team at Inria Côte d'Azur within FedMalin initiative.
Ideal candidate
PhD with strong mathematical mindset passionate about modeling real networked learning problems and advancing decentralized optimization research at the highest level.
Requirements
- Ph.D. in Applied Mathematics, Computer Science or closely related discipline
- Evidence of research productivity at the highest level
- Strong mathematical background in optimization, statistical learning or privacy
- Knowledge of machine learning and good programming skills
Lab profile
About Inria
French national research institute advancing digital sciences, computing, AI and applied mathematics.
What they build
- Digital sciences and computing research
- Artificial intelligence for microscopy and video analysis
- Quantum information theory
Known for
- Joint teams with Paris-Saclay University and Institut Polytechnique de Paris
- Embedded in Paris-Saclay science and technology cluster
- Rich R&D ecosystem with startups, industry and clusters
- International collaborations and multinational scientific staff
Key facts
- Founded in 1967
- Headquartered in France
- Nine research centres across France
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