DistributedML@CoNEXT

Keyphrases

Publications

2023

Jihao Xin, Ivan Ilin, Shunkang Zhang, Marco Canini, Peter Richtárik
Kimad: Adaptive Gradient Compression with Bandwidth Awareness. DistributedML@CoNEXT (2023)
Lars Wulfert, Navidreza Asadi, Wen-Yu Chung, Christian Wiede, Anton Grabmaier
Adaptive Decentralized Federated Gossip Learning for Resource-Constrained IoT Devices. DistributedML@CoNEXT (2023)
Dimitris Stripelis, Chrysovalantis Anastasiou, Patrick Toral, Armaghan Asghar, José Luis Ambite
MetisFL: An Embarrassingly Parallelized Controller for Scalable & Efficient Federated Learning Workflows. DistributedML@CoNEXT (2023)
Sanjay Sri Vallabh Singapuram, Chuheng Hu, Fan Lai, Chengsong Zhang, Mosharaf Chowdhury
Flamingo: A User-Centric System for Fast and Energy-Efficient DNN Training on Smartphones. DistributedML@CoNEXT (2023)
Hongrui Shi, Valentin Radu, Po Yang
Lightweight Workloads in Heterogeneous Federated Learning via Few-shot Learning. DistributedML@CoNEXT (2023)
Grigory Malinovsky, Konstantin Mishchenko, Peter Richtárik
Server-Side Stepsizes and Sampling Without Replacement Provably Help in Federated Optimization. DistributedML@CoNEXT (2023)
Konstantin Burlachenko, Abdulmajeed Alrowithi, Fahad Ali Albalawi, Peter Richtárik
Federated Learning is Better with Non-Homomorphic Encryption. DistributedML@CoNEXT (2023)
Proceedings of the 4th International Workshop on Distributed Machine Learning, DistributedML 2023, Paris, France, 8 December 2023 DistributedML@CoNEXT (2023)

2021

2020