research
∙
08/04/2023
On the Inherent Anonymity of Gossiping
Detecting the source of a gossip is a critical issue, related to identif...
share
research
∙
06/07/2023
Get More for Less in Decentralized Learning Systems
Decentralized learning (DL) systems have been gaining popularity because...
research
∙
04/17/2023
Decentralized Learning Made Easy with DecentralizePy
Decentralized learning (DL) has gained prominence for its potential bene...
research
∙
02/27/2023
MoDeST: Bridging the Gap between Federated and Decentralized Learning with Decentralized Sampling
Federated and decentralized machine learning leverage end-user devices f...
research
∙
02/23/2022
TEE-based decentralized recommender systems: The raw data sharing redemption
Recommenders are central in many applications today. The most effective ...
research
∙
10/21/2021
Guess what? You can boost Federated Learning for free
Federated Learning (FL) exploits the computation power of edge devices, ...
research
∙
04/15/2021
D-Cliques: Compensating NonIIDness in Decentralized Federated Learning with Topology
The convergence speed of machine learning models trained with Federated ...
research
∙
10/22/2020
Cluster-and-Conquer: When Randomness Meets Graph Locality
K-Nearest-Neighbors (KNN) graphs are central to many emblematic data min...
research
∙
06/12/2020
FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction
Federated Learning (FL) is very appealing for its privacy benefits: esse...
research
∙
05/16/2019
Derived Codebooks for High-Accuracy Nearest Neighbor Search
High-dimensional Nearest Neighbor (NN) search is central in multimedia s...
research
∙
12/21/2018
Quicker ADC : Unlocking the hidden potential of Product Quantization with SIMD
Efficient Nearest Neighbor (NN) search in high-dimensional spaces is a f...
research
∙
04/24/2017
