all AI news
FedGrad: Optimisation in Decentralised Machine Learning. (arXiv:2211.04254v1 [cs.LG])
Nov. 9, 2022, 2:12 a.m. | Mann Patel
cs.LG updates on arXiv.org arxiv.org
Federated Learning is a machine learning paradigm where we aim to train
machine learning models in a distributed fashion. Many clients/edge devices
collaborate with each other to train a single model on the central. Clients do
not share their own datasets with each other, decoupling computation and data
on the same device. In this paper, we propose yet another adaptive federated
optimization method and some other ideas in the field of federated learning. We
also perform experiments using these methods …
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Senior Machine Learning Engineer
@ GPTZero | Toronto, Canada
ML/AI Engineer / NLP Expert - Custom LLM Development (x/f/m)
@ HelloBetter | Remote
Doctoral Researcher (m/f/div) in Automated Processing of Bioimages
@ Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) | Jena
Seeking Developers and Engineers for AI T-Shirt Generator Project
@ Chevon Hicks | Remote
Principal Data Architect - Azure & Big Data
@ MGM Resorts International | Home Office - US, NV
GN SONG MT Market Research Data Analyst 11
@ Accenture | Bengaluru, BDC7A