13 citations · 21 across the 7 of their papers we have counts for
10 papers
FedPLT: Scalable, Resource-Efficient, and Heterogeneity-Aware Federated Learning via Partial Layer Training
Ahmad Dabaja, Rachid El-Azouzi
Federated Learning (FL) has gained significant attention in distributed machine learning by enabling collaborative model training across decentralized system while preserving data…
Strategic Analysis of Just-In-Time Liquidity Provision in Concentrated Liquidity Market Makers
Bruno Llacer Trotti, Weizhao Tang, Rachid El-Azouzi +2
Liquidity providers (LPs) are essential figures in the operation of automated market makers (AMMs); in exchange for transaction fees, LPs lend the liquidity that allows AMMs to ope…
Towards Optimal Heterogeneous Client Sampling in Multi-Model Federated Learning
Haoran Zhang, Zejun Gong, Zekai Li +3
Federated learning (FL) allows edge devices to collaboratively train models without sharing local data. As FL gains popularity, clients may need to train multiple unrelated FL mode…
Optimal Control of Storage Regeneration with Repair Codes
Francesco De Pellegrini, Rachid El Azouzi, Alonso Silva +1
High availability of containerized applications requires to perform robust storage of applications' state. Since basic replication techniques are extremely costly at scale, storage…
Backward-Shifted Strategies Based on SVC for HTTP Adaptive Video Streaming
Zakaria Ye, Rachid El-Azouzi, Tania Jimenez +2
Although HTTP-based video streaming can easily penetrate firewalls and profit from Web caches, the underlying TCP may introduce large delays in case of a sudden capacity loss. To a…
NEWCAST: Anticipating Resource Management and QoE Provisioning for Mobile Video Streaming
Imen Triki, Rachid El-Azouzi, Majed Haddad
The knowledge of future throughput variations in mobile networks becomes more and more possible today thanks to the rich contextual information provided by mobile applications and…