|
|
|
| e-Pub |
Previous | 
Home
Section: Bilateral Contracts and Grants with Industry
CIFRE with Orange
Contract with Orange started in 2017 and continued in 2018 for the co-advising by B. Blaszczyszyn of a PhD student of Orange, Quentin Le Gall.
Research Program
Application Domains
New Results
- Energy Trade-offs for end-to-end Communications in Urban Vehicular Networks exploiting an Hyperfractal Model
- Broadcast Speedup in Vehicular Networks via Information Teleportation
- Vehicle-to-Infrastructure Communications Design in Urban Hyperfractals
- Book on Stochastic Geometry Analysis of Cellular Networks
- Gibbsian On-Line Distributed Content Caching Strategy for Cellular Networks
- Location Aware Opportunistic Bandwidth Sharing between Static and Mobile Users with Stochastic Learning in Cellular Networks
- Performance analysis of cellular networks with opportunistic scheduling using queueing theory and stochastic geometry
- The Influence of Canyon Shadowing on Device-to-Device Connectivity in Urban Scenario
- Determinantal thinning of point processes with network learning applications
- Analyzing LoRa long-range, low-power, wide-area networks using stochastic geometry
- Statistical learning of geometric characteristics of wireless networks
- Ressource allocation in bike sharing systems
- Analyzing the choice of the least loaded queue between two neighboring queues
- Optimal Content Replication and Request Matching in Large Caching Systems
- Statistical thresholds for Tensor PCA
- The distribution of the Lasso: Uniform control over sparse balls and adaptive parameter tuning
- Phase transitions in spiked matrix estimation: information-theoretic analysis
- Accelerated decentralized optimization with local updates for smooth and strongly convex objectives
- Group synchronization on grids
- An Impossibility Result for Reconstruction in a Degree-Corrected Planted-Partition Model
- On the capacity of information processing systems
- Optimal Algorithms for Non-Smooth Distributed Optimization in Networks
- Zap Meets Momentum: Stochastic Approximation Algorithms with Optimal Convergence Rate
- Ergodic theory for controlled Markov chains with stationary inputs
- Ordinary Differential Equation Methods for Markov Decision Processes and Application to Kullback–Leibler Control Cost
- Distributed control design for balancing the grid using flexible loads
- Estimation and control of quality of service in demand dispatch
- Optimal control of energy storage
- Dynamic matching models
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Bibliography