most citedFedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data

3 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CL2025

Mitigating Posterior Salience Attenuation in Long-Context LLMs with Positional Contrastive Decoding

Zikai Xiao, Ziyang Wang, Wen Ma +5

While Large Language Models (LLMs) support long contexts, they struggle with performance degradation within the context window. Current solutions incur prohibitive training costs,…

cs.CL2024

Large Language Model Bias Mitigation from the Perspective of Knowledge Editing

Ruizhe Chen, Yichen Li, Zikai Xiao +1

Existing debiasing methods inevitably make unreasonable or undesired predictions as they are designated and evaluated to achieve parity across different social groups but leave asi…

cs.LG2024★ 3 cited

FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data

Zikai Xiao, Zihan Chen, Liyinglan Liu +6

Federated Long-Tailed Learning (Fed-LT), a paradigm wherein data collected from decentralized local clients manifests a globally prevalent long-tailed distribution, has garnered co…