4 citations · 4 across the 2 of their papers we have counts for
4 papers
FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction
Georgios Damaskinos, Rachid Guerraoui, Anne-Marie Kermarrec +3
Federated Learning (FL) is very appealing for its privacy benefits: essentially, a global model is trained with updates computed on mobile devices while keeping the data of users l…
Asynchronous Byzantine Machine Learning (the case of SGD)
Georgios Damaskinos, El Mahdi El Mhamdi, Rachid Guerraoui +2
Asynchronous distributed machine learning solutions have proven very effective so far, but always assuming perfectly functioning workers. In practice, some of the workers can howev…
Sequences, Items And Latent Links: Recommendation With Consumed Item Packs
Rachid Guerraoui, Erwan Le Merrer, Rhicheek Patra +1
Recommenders personalize the web content by typically using collaborative filtering to relate users (or items) based on explicit feedback, e.g., ratings. The difficulty of collecti…
BoostJet: Towards Combining Statistical Aggregates with Neural Embeddings for Recommendations
Rhicheek Patra, Egor Samosvat, Michael Roizner +1
Recommenders have become widely popular in recent years because of their broader applicability in many e-commerce applications. These applications rely on recommenders for generati…