Daniel Cederberg

2 accepted papers

2025

An Asynchronous Bundle Method for Distributed Learning Problems

Daniel Cederberg, Xuyang Wu, Stephen P. Boyd, Mikael Johansson

ICLR 2025poster

We propose a novel asynchronous bundle method to solve distributed learning problems. Compared to existing asynchronous methods, our algorithm computes the next iterate based on a more accurate approximation of the objective function and does not require any prior information about the maximal info…

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2025

FABLE: A Bundle Method For Federated Learning In Wireless Systems

Daniel Cederberg, Erik G. Larsson, Mikael Johansson

ICASSP 2025accepted

This paper presents a comprehensive approach to federated learning in wireless networks. We discuss communication strategies that address packet loss and bitrate limitations in both uplink and downlink transmissions, and introduce FABLE, a novel optimization algorithm designed to operate effectively…

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