DYOGENE - 2018 - Annual activity report

DYOGENE

DYOGENE - 2018

Project-Team Dyogene

Team, Visitors, External Collaborators

Overall Objectives

Research Program

Initial research axes
Distributed network control and smart-grids
Mathematics of wireless cellular networks
High-dimensional statistical inference for social networks

Application Domains

Physical communication networks
Abstract networks
Power grids

Highlights of the Year

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

CRE with Huawei
CIFRE with Nokia
CIFRE with Orange

Partnerships and Cooperations

Regional Initiatives
National Initiatives
International Initiatives
International Research Visitors

Dissemination

Promoting Scientific Activities
Teaching - Supervision - Juries
Popularization

Bibliography

Publications of the year

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Section: Highlights of the Year

Highlights of the Year

Publication of a monograph Stochastic Geometry Analysis of Cellular Networks by Cambridge University Press [30] that presents latest analytic techniques and results from stochastic geometry for modelling of heterogeneous cellular networks.

Awards

Our paper “ Optimal Algorithms for Non-Smooth Distributed Optimization in Networks” by K. Scaman, F. Bach, S. Bubeck, Y.T. Lee and L. Massoulié won a best paper award at the NeurIPS 2018 conference.

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