Juliette Achddou

2 accepted papers

2026

Decentralized Online Convex Optimization with Unknown Feedback Delays

Hao Qiu, Mengxiao Zhang, Juliette Achddou

AAAI 2026technical

Decentralized online convex optimization (D-OCO), where multiple agents within a network collaboratively learn optimal decisions in real-time, arises naturally in applications such as federated learning, sensor networks, and multi-agent control. In this paper, we study D-OCO under unknown, time- and

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2024

Multitask Online Learning: Listen to the Neighborhood Buzz

Juliette Achddou, Nicolò Cesa-Bianchi, Pierre Laforgue

AISTATS 2024poster

We study multitask online learning in a setting where agents can only exchange information with their neighbors on an arbitrary communication network. We introduce MT-CO\textsubscript{2}OL, a decentralized algorithm for this setting whose regret depends on the interplay between the task similarities…

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