Canini, Marco

7 publications

AISTATS 2025 DPFL: Decentralized Personalized Federated Learning Salma Kharrat, Marco Canini, Samuel Horváth

ICLR 2025 Query-Based Knowledge Transfer for Heterogeneous Learning Environments Norah Alballa, Wenxuan Zhang, Ziquan Liu, Ahmed M. Abdelmoniem, Mohamed Elhoseiny, Marco Canini

ICMLW 2024 Train Your Cake and Eat It Too! Repurposing Collaborative Training to Tailor LLMs to Private Data Without Sharing Boris Radovič, Mohammed Aljahdali, Marco Canini, Veljko Pejović, Zuhair Khayyat

ICMLW 2023 Resource-Efficient Federated Learning Ahmed M. Abdelmoniem, Atal Narayan Sahu, Marco Canini, Suhaib A. Fahmy

ICLR 2021 AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly Yuchen Jin, Tianyi Zhou, Liangyu Zhao, Yibo Zhu, Chuanxiong Guo, Marco Canini, Arvind Krishnamurthy

NeurIPS 2021 Rethinking Gradient Sparsification as Total Error Minimization Atal Sahu, Aritra Dutta, Ahmed M. Abdelmoniem, Trambak Banerjee, Marco Canini, Panos Kalnis

AAAI 2020 On the Discrepancy Between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning Aritra Dutta, El Houcine Bergou, Ahmed M. Abdelmoniem, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Panos Kalnis