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Experimenting with Emerging ARM and RISC-V Systems for Decentralised Machine Learning., , , , , , , , , and 3 other author(s). CoRR, (2023)A Federated Learning Benchmark for Drug-Target Interaction., , , and . CoRR, (2023)RISC-V-Based Platforms for HPC: Analyzing Non-functional Properties for Future HPC and Big-Data Clusters., , , , , , , , , and 8 other author(s). SAMOS, volume 14385 of Lecture Notes in Computer Science, page 395-410. Springer, (2023)Model-Agnostic Federated Learning., , , , and . Euro-Par, volume 14100 of Lecture Notes in Computer Science, page 383-396. Springer, (2023)Efficiently Distributed Federated Learning., , and . Euro-Par Workshops, volume 14352 of Lecture Notes in Computer Science, page 321-326. Springer, (2023)Pooling critical datasets with Federated Learning., , , , , and . PDP, page 329-337. IEEE, (2023)Towards EXtreme scale technologies and accelerators for euROhpc hw/Sw supercomputing applications for exascale: The TEXTAROSSA approach., , , , , , , , , and 46 other author(s). Microprocess. Microsystems, (November 2022)Practical parallelization of scientific applications with OpenMP, OpenACC and MPI., , , , , , , and . J. Parallel Distributed Comput., (2021)A Federated Learning Benchmark for Drug-Target Interaction., , , , and . WWW (Companion Volume), page 1177-1181. ACM, (2023)TEXTAROSSA: Towards EXtreme scale Technologies and Accelerators for euROhpc hw/Sw Supercomputing Applications for exascale., , , , , , , , , and 41 other author(s). DSD, page 286-294. IEEE, (2021)