most citedUnderstanding and Improving Model Averaging in Federated Learning on Heterogeneous Data

26 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

2 papers

cs.CV2026

UniVidX: A Unified Multimodal Framework for Versatile Video Generation via Diffusion Priors

Houyuan Chen, Hong Li, Xianghao Kong +8

Recent progress has shown that video diffusion models (VDMs) can be repurposed for diverse multimodal graphics tasks. However, existing methods often train separate models for each…

cs.LG2023★ 26 cited

Understanding and Improving Model Averaging in Federated Learning on Heterogeneous Data

Tailin Zhou, Zehong Lin, Jun Zhang +1

Model averaging is a widely adopted technique in federated learning (FL) that aggregates multiple client models to obtain a global model. Remarkably, model averaging in FL yields a…