Hello, since Nov. 2018, I am on an “advanced research position” at Inria, in the WIDE team. My current and main topics of research are

  • the study of black-box algorithms in the context of recommender systems, and the related scalable computation
  • algorithms for the distribution of machine learning (deep networks, GANs)

I was a senior research scientist at Technicolor R&I (2009-2018), where I worked on scalable storage, processing and machine learning for data analytics and monitoring of home devices. I own a PhD on distributed systems from University of Rennes 1, and a background on peer-to-peer systems, and graph mining/algorithms. My Ph.D. thesis was financed by Orange Labs (where I stayed btw 2004-2007). I obtained my habilitation (HDR) on November 2016 from University of Rennes 1. I am the president and sysadmin of the gozdata association, that provides the gozmail service, built from free software.


Recent publications

  • The Bouncer Problem: Challenges to Remote Explainability, Erwan Le Merrer, Gilles Trédan. [ArXiv preprint 2019].

  • Adversarial Frontier Stitching for Remote Neural Network Watermarking, Erwan Le Merrer, Patrick Perez, Gilles Trédan. In the journal of Neural Computing and Applications, 2019. [editor]

  • TamperNN: Efficient Tampering Detection of Deployed Neural Nets, Erwan Le Merrer, Gilles Trédan. In ISSRE, 2019. [preprint]

  • Unified and Scalable Incremental Recommenders with Consumed Item Packs, Rachid Guerraoui, Erwan Le Merrer, Rhicheek Patra, Jean-Ronan Vigouroux. In Euro-par 2019. [preprint].

  • Application-aware adaptive partitioning for graph processing systems, Erwan Le Merrer, Gilles Trédan. (6p short) In MASCOTS 2019. [preprint]

  • MD-GAN: Multi-Discriminator Generative Adversarial Networks for Distributed Datasets, Corentin Hardy, Erwan Le Merrer, Bruno Sericola. In IPDPS, 2019. [preprint].

  • Gossiping GANs, Corentin Hardy, Erwan Le Merrer, Bruno Sericola. In Middleware’s Workshop on Distributed Infrastructures for Deep Learning, 2018. [preprint] [ACM ref]

  • zoNNscan : a boundary-entropy index for zone inspection of neural models, Adel Jaouen, Erwan Le Merrer. [ArXiv preprint 2018].

  • Distributed deep learning on edge-devices: feasibility via adaptive compression, Corentin Hardy, Erwan Le Merrer, Bruno Sericola. In IEEE NCA, 2017. Best paper award [preprint].

  • The topological face of recommendation, Erwan Le Merrer, Gilles Trédan. In Complex Networks 2017. [preprint].

  • Uncovering Influence Cookbooks : Reverse Engineering the Topological Impact in Peer Ranking Services, Erwan Le Merrer, Gilles Trédan. In ACM CSCW, 2017. [preprint].



  • IEEE NCA 2017 best paper award, for paper “Distributed deep learning on edge-devices: feasibility via adaptive compression”, with Corentin Hardy and Bruno Sericola.
  • Paper co-authors are awarded prize “La recherche 2015”, for work on cold storage, from Eurosys 2014.
  • Prix “Bretagne jeune chercheur” 2011, mention spéciale.


As my main participation to scientific events, I was co-chair of Middleware 2018 industry track, in Rennes, and AlgoTel 2019 program co-chair. Co-organizing WOS with INRIA and Interdigital (ex Technicolor), a workshop on storage, cloud processing and data analytics, in every year Rennes: WOS archive.

I have co-authored 8 granted patents, and around 39 pending demands.