Search Results for author:
Found 3 papers, 0 papers with code
Distributed Maximum Consensus over Noisy Links
We introduce a distributed algorithm, termed noise-robust distributed maximum consensus (RD-MC), for estimating the maximum value within a multi-agent network in the presence of noisy communication links.
Privacy-Preserving Distributed Nonnegative Matrix Factorization
To address this, we propose a privacy-preserving algorithm for fully-distributed NMF that decomposes a distributed large data matrix into left and right matrix factors while safeguarding each agent's local data privacy.
Analyzing the Impact of Partial Sharing on the Resilience of Online Federated Learning Against Model Poisoning Attacks
PSO-Fed reduces the communication load by enabling clients to exchange only a fraction of their model estimates with the server at each update round.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
