3 papers
stat.ML2026
Decentralized Online Convex Optimization with Unknown Feedback Delays
Hao Qiu, Mengxiao Zhang, Juliette Achddou
Decentralized online convex optimization (D-OCO), where multiple agents within a network collaboratively learn optimal decisions in real-time, arises naturally in applications such…
cs.LG2025
Exploiting Curvature in Online Convex Optimization with Delayed Feedback
Hao Qiu, Emmanuel Esposito, Mengxiao Zhang
In this work, we study the online convex optimization problem with curved losses and delayed feedback. When losses are strongly convex, existing approaches obtain regret bounds of…
cs.LG2024
Distributed Online Optimization with Stochastic Agent Availability
Juliette Achddou, Nicolò Cesa-Bianchi, Hao Qiu
Motivated by practical federated learning settings where clients may not be always available, we investigate a variant of distributed online optimization where agents are active wi…