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cs.LG2026
On Gossip Algorithms for Machine Learning with Pairwise Objectives
Igor Colin, Aurélien Bellet, Stephan Clémençon +1
In the IoT era, information is more and more frequently picked up by connected smart sensors with increasing, though limited, storage, communication and computation abilities. Whet…
cs.LG2026
Decentralized Ranking Aggregation via Gossip: Convergence and Robustness
Kerrian Le Caillec, Anna Van Elst, Igor Colin +1
The concept of ranking aggregation plays a central role in preference analysis, and numerous algorithms for calculating median rankings, often originating in social choice theory,…
cs.LG2026
Fast and Efficient Asynchronous Gossip Algorithm for Robust and Non-Smooth Convex Decentralized Learning
Anna van Elst, Olivier Fercoq, Igor Colin +1
Asynchronous primal-dual methods for decentralized non-smooth convex optimization often require each node to maintain auxiliary variables, where is its degree.…