Youtubed activities
Dec 2023
13
Dec
Binomial Line Cox Processes - Modeling Streets Across a City
Acknowledgment: Joint work with Martin Haenggi (University of Notre Dame) The current analysis of wireless networks whose transceivers are confined to streets is largely based [...]
13
Dec
Ensemble distillation for robust model fusion in federated learning
Federated Learning (FL) attempts to protect the privacy of the participants in the scheme by uploading locally-trained models from edge devices to a server, where [...]
08
Dec
Wireless Network Optimization: From Algorithm Design to Field Trials
An overview of François Durand and Lorenzo Maggi's activities on beamforming, energy savings, radiation exposure mitigation, and scheduling over the last few years. François' slides [...]
06
Dec
APT: managing software under Debian-based GNU/Linux distributions
APT (Advanced Package Tool) is the package manager used under Debian and any Linux distribution based on Debian (Ubuntu, Mint, etc.). APT is used needed [...]
01
Dec
Pushing Programmability to the Edge and beyond: the Evolutions of Mobile Networks Architecture towards Smart Radio Environments
This talk precede the talk of Prof. Andrea Araldo "Technical and economic strategies for Multi-Tenant Edge Computing". The evolution of the architecture of Mobile Radio [...]
Nov 2023
30
Nov
Phd Thesis Defense : Artificial Intelligence for Resource Allocation in Multi-Tenant Edge Computing
We consider in this thesis Edge Computing (EC) as a multi-tenant environment where Net- work Operators (NOs) own edge resources deployed in base stations, central [...]
29
Nov
Reinforcement Learning and optimization for an energy and resource efficient 5G slicing
This talk, which will be the rehearsal of my thesis, addresses resource allocation problems in 5G networks. Our objective is to leverage network slicing (e.g. [...]
29
Nov
Coverage and Capacity of Joint Communication and Sensing in Wireless Networks
Joint Communication and Sensing (JCAS) is a technology aiming at integrating both communication and sensing in one single system. It requires the reevaluation of network [...]
22
Nov
From Data Networks to Intelligent Networks: In-Network Computing's Promise
In-network computing technologies encompass a range of approaches and tools designed to enable computation and data processing within the network infrastructure, such as Network Interface [...]
22
Nov
Gossip learning with linear models on fully distributed data
In the realm of distributed machine learning, a novel approach called Gossip Learning, was presented in 2013 by the paper "Gossip Learning with Linear Models [...]