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.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…
cs.AI2024
Stochastic Direct Search Method for Blind Resource Allocation
Juliette Achddou, Olivier Cappe, Aurélien Garivier
Motivated by programmatic advertising optimization, we consider the task of sequentially allocating budget across a set of resources. At every time step, a feasible allocation is c…