Publications (95)
Strategic Federated Learning: Application to Smart Meter Data Clustering
Hassan Mohamad, Chao Zhang, Samson Lasaulce +3
Federated learning (FL) involves several clients that share with a fusion center (FC), the model each client has trained with its own data. Conventional FL, which can be interprete…
Marketing resource allocation in duopolies over social networks
Vineeth S. Varma, Irinel-Constantin Morarescu, Samson Lasaulce +1
One of the key features of this paper is that the agents' opinion of a social network is assumed to be not only influenced by the other agents but also by two marketers in competit…
Minimizing the impact of EV charging on the electricity distribution network
Olivier Beaude, Samson Lasaulce, Martin Hennebel +1
The main objective of this paper is to design electric vehicle (EV) charging policies which minimize the impact of charging on the electricity distribution network (DN). More preci…
An Achievable Rate Region for the Broadcast Wiretap Channel with Asymmetric Side Information
Maël Le Treust, Abdellatif Zaidi, Samson Lasaulce
The communication scenario under consideration in this paper corresponds to a multiuser channel with side information and consists of a broadcast channel with two legitimate receiv…
ProjQ: Project-and-Quantize for Adapter-Aware LLM Compression
Wenya Yu, Chao Zhang, Li Wang +2
Post-Training Quantization (PTQ) and Low-Rank Adaptation (LoRA) constitute the standard pipeline for efficient Large Language Model (LLM) deployment. However, applying them sequent…
BAQ: Efficient Bit Allocation Quantization for Large Language Models
Chao Zhang, Li Wang, Samson Lasaulce +1
Post-training model quantization is a widely adopted technique for reducing the memory and computational costs of large language models (LLMs). However, most existing methods rely…