Time-FFM: Towards LM-Empowered Federated Foundation Model for Time
Series Forecasting

Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting

23 May 2024

Xu Liu

Papers citing "Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting"

8 / 8 papers shown

Title
Urban Computing in the Era of Large Language Models Zhonghang Li Lianghao Xia Xubin Ren J. Tang Tianyi Chen Yong-mei Xu C. Huang 70 0 0 02 Apr 2025
Vision-Enhanced Time Series Forecasting via Latent Diffusion Models Weilin Ruan Siru Zhong Haomin Wen Yuxuan Liang AI4TS 58 1 0 16 Feb 2025
Foundation Models for Time Series Analysis: A Tutorial and Survey Yuxuan Liang Haomin Wen Yuqi Nie Yushan Jiang Ming Jin Dongjin Song Shirui Pan Qingsong Wen AI4TS AI4CE 81 108 0 21 Mar 2024
Unified Training of Universal Time Series Forecasting Transformers Gerald Woo Chenghao Liu Akshat Kumar Caiming Xiong Silvio Savarese Doyen Sahoo AI4TS 107 152 0 04 Feb 2024
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects Kexin Zhang Qingsong Wen Chaoli Zhang Rongyao Cai Ming Jin ... James Y. Zhang Y. Liang Guansong Pang Dongjin Song Shirui Pan AI4TS 109 97 0 16 Jun 2023
Conquering the Communication Constraints to Enable Large Pre-Trained Models in Federated Learning Guangyu Sun Umar Khalid Matías Mendieta Taojiannan Yang C. L. P. Chen FedML 61 13 0 04 Oct 2022
Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning Pin-Yu Chen VLM 89 57 0 22 Feb 2022
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 220 3,054 0 23 Jan 2020