-
Notifications
You must be signed in to change notification settings - Fork 1
Expand file tree
/
Copy pathCITATION.cff
More file actions
58 lines (58 loc) 路 1.86 KB
/
Copy pathCITATION.cff
File metadata and controls
58 lines (58 loc) 路 1.86 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
cff-version: 1.2.0
message: "If you use FedAgent in your research, please cite it as below."
title: "FedAgent: Federated Agent Reinforcement Learning"
abstract: >-
A decentralized reinforcement-learning framework for collaboratively training
LLM agents across distributed clients without sharing local data, with a
two-level (task vs. environment) heterogeneity taxonomy and an asymmetric
robustness analysis.
type: software
license: Apache-2.0
# TODO(author): fill in repository-code / url / version / date-released below before publishing.
authors:
- family-names: "Chen"
given-names: "Canyu"
- family-names: "Zhu"
given-names: "Kangyu"
- family-names: "Chen"
given-names: "Zhaorun"
- family-names: "Zhou"
given-names: "Zhanhui"
- family-names: "Diao"
given-names: "Shizhe"
- family-names: "Lu"
given-names: "Yiping"
- family-names: "Li"
given-names: "Tian"
- family-names: "Li"
given-names: "Manling"
- family-names: "Song"
given-names: "Dawn"
# repository-code: "TODO(author): public repo URL"
# url: "TODO(author): project page"
# version: "TODO(author): release version"
# date-released: "TODO(author): YYYY-MM-DD"
preferred-citation:
type: article
title: "Is Decentralized LLM Agent RL Robust to Heterogeneity? An Asymmetric Tale"
authors:
- family-names: "Chen"
given-names: "Canyu"
- family-names: "Zhu"
given-names: "Kangyu"
- family-names: "Chen"
given-names: "Zhaorun"
- family-names: "Zhou"
given-names: "Zhanhui"
- family-names: "Diao"
given-names: "Shizhe"
- family-names: "Lu"
given-names: "Yiping"
- family-names: "Li"
given-names: "Tian"
- family-names: "Li"
given-names: "Manling"
- family-names: "Song"
given-names: "Dawn"
journal: "arXiv preprint arXiv:XXXX.XXXXX" # TODO(author): arXiv id once available
year: 2026