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FedKL: Tackling Data Heterogeneity in Federated Reinforcement Learning
  by Penalizing KL Divergence
v1v2v3 (latest)

FedKL: Tackling Data Heterogeneity in Federated Reinforcement Learning by Penalizing KL Divergence

IEEE Journal on Selected Areas in Communications (JSAC), 2022
18 April 2022
Zhijie Xie
Shenghui Song
    FedML
ArXiv (abs)PDFHTML

Papers citing "FedKL: Tackling Data Heterogeneity in Federated Reinforcement Learning by Penalizing KL Divergence"

27 / 27 papers shown
FOVA: Offline Federated Reinforcement Learning with Mixed-Quality Data
FOVA: Offline Federated Reinforcement Learning with Mixed-Quality Data
Nan Qiao
Sheng Yue
Ju Ren
Yaoxue Zhang
OffRL
122
0
0
02 Dec 2025
FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge
FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge
Gang Hu
Yinglei Teng
Pengfei Wu
Nan Wang
MoE
108
2
0
26 Aug 2025
Federated Reinforcement Learning in Heterogeneous Environments
Federated Reinforcement Learning in Heterogeneous Environments
Ukjo Hwang
Songnam Hong
FedML
152
1
0
19 Jul 2025
The Actor-Critic Update Order Matters for PPO in Federated Reinforcement Learning
The Actor-Critic Update Order Matters for PPO in Federated Reinforcement Learning
Zhijie Xie
Shenghui Song
211
0
0
02 Jun 2025
Achieving Tighter Finite-Time Rates for Heterogeneous Federated Stochastic Approximation under Markovian Sampling
Achieving Tighter Finite-Time Rates for Heterogeneous Federated Stochastic Approximation under Markovian Sampling
Feng Zhu
Aritra Mitra
Robert W. Heath
FedML
244
0
0
15 Apr 2025
Comprehensive Study on Lumbar Disc Segmentation Techniques Using MRI
  Data
Comprehensive Study on Lumbar Disc Segmentation Techniques Using MRI Data
Serkan Salturk
Irem Sayin
Ibrahim Cem Balci
Taha Emre Pamukcu
Zafer Soydan
Huseyin Uvet
257
10
0
25 Dec 2024
Towards Fast Rates for Federated and Multi-Task Reinforcement Learning
Towards Fast Rates for Federated and Multi-Task Reinforcement LearningIEEE Conference on Decision and Control (CDC), 2024
Feng Zhu
Robert W. Heath Jr.
Aritra Mitra
218
3
0
09 Sep 2024
On the Convergence Rates of Federated Q-Learning across Heterogeneous Environments
On the Convergence Rates of Federated Q-Learning across Heterogeneous Environments
Muxing Wang
Pengkun Yang
Lili Su
FedML
373
2
0
05 Sep 2024
Efficient Federated Learning against Byzantine Attacks and Data Heterogeneity via Aggregating Normalized Gradients
Efficient Federated Learning against Byzantine Attacks and Data Heterogeneity via Aggregating Normalized Gradients
Shiyuan Zuo
Xingrun Yan
Rongfei Fan
Li Shen
P. Zhao
Jie Xu
Han Hu
FedML
401
3
0
18 Aug 2024
Energy-Efficient Channel Decoding for Wireless Federated Learning:
  Convergence Analysis and Adaptive Design
Energy-Efficient Channel Decoding for Wireless Federated Learning: Convergence Analysis and Adaptive Design
Linping Qu
Yuyi Mao
Shenghui Song
Chi-Ying Tsui
295
3
0
26 Jun 2024
Momentum for the Win: Collaborative Federated Reinforcement Learning
  across Heterogeneous Environments
Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments
Han Wang
Sihong He
Zhili Zhang
Fei Miao
James Anderson
252
8
0
29 May 2024
Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis
Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis
Guangchen Lan
Dong-Jun Han
Abolfazl Hashemi
Vaneet Aggarwal
Christopher G. Brinton
831
23
0
09 Apr 2024
Federated Learning Resilient to Byzantine Attacks and Data Heterogeneity
Federated Learning Resilient to Byzantine Attacks and Data Heterogeneity
Shiyuan Zuo
Xingrun Yan
Rongfei Fan
Han Hu
Hangguan Shan
Tony Q.S. Quek
Puning Zhao
AAMLFedML
506
7
0
20 Mar 2024
Global Convergence Guarantees for Federated Policy Gradient Methods with
  Adversaries
Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries
Swetha Ganesh
Jiayu Chen
Gugan Thoppe
Vaneet Aggarwal
FedML
312
5
0
15 Mar 2024
SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning
SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning
Paul Mangold
S. Samsonov
Safwan Labbi
I. Levin
Réda Alami
Alexey Naumov
Eric Moulines
414
6
0
06 Feb 2024
Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement
  Learning
Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2024
Chenyu Zhang
Han Wang
Aritra Mitra
James Anderson
279
30
0
27 Jan 2024
Communication-Efficient Soft Actor-Critic Policy Collaboration via
  Regulated Segment Mixture in Internet of Vehicles
Communication-Efficient Soft Actor-Critic Policy Collaboration via Regulated Segment Mixture in Internet of VehiclesIEEE Internet of Things Journal (IEEE IoT J.), 2023
Xiaoxue Yu
Rongpeng Li
Chengchao Liang
Zhifeng Zhao
291
3
0
15 Dec 2023
Federated Learning Across Decentralized and Unshared Archives for Remote
  Sensing Image Classification
Federated Learning Across Decentralized and Unshared Archives for Remote Sensing Image ClassificationIEEE Geoscience and Remote Sensing Magazine (GRSM), 2023
Baris Büyüktas
Gencer Sumbul
Begüm Demir
FedML
372
13
0
10 Nov 2023
Epidemic Decision-making System Based Federated Reinforcement Learning
Epidemic Decision-making System Based Federated Reinforcement Learning
Yangxi Zhou
Junping Du
Zhe Xue
Zhenhui Pan
Weikang Chen
170
0
0
03 Nov 2023
Improved Communication Efficiency in Federated Natural Policy Gradient
  via ADMM-based Gradient Updates
Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient UpdatesNeural Information Processing Systems (NeurIPS), 2023
Guangchen Lan
Han Wang
James Anderson
Christopher G. Brinton
Vaneet Aggarwal
FedML
277
31
0
09 Oct 2023
Analysis and Optimization of Wireless Federated Learning with Data
  Heterogeneity
Analysis and Optimization of Wireless Federated Learning with Data HeterogeneityIEEE Transactions on Wireless Communications (IEEE TWC), 2023
Xu Han
Jun Li
Wen Chen
Zhen Mei
Kang Wei
Ming Ding
H. Vincent Poor
206
9
0
04 Aug 2023
Client Selection for Federated Policy Optimization with Environment
  Heterogeneity
Client Selection for Federated Policy Optimization with Environment Heterogeneity
Zhijie Xie
S. H. Song
448
6
0
18 May 2023
Federated Ensemble-Directed Offline Reinforcement Learning
Federated Ensemble-Directed Offline Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2023
Desik Rengarajan
N. Ragothaman
D. Kalathil
S. Shakkottai
OffRL
187
2
0
04 May 2023
Stateful active facilitator: Coordination and Environmental
  Heterogeneity in Cooperative Multi-Agent Reinforcement Learning
Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2022
Dianbo Liu
Vedant Shah
Oussama Boussif
Cristian Meo
Anirudh Goyal
Tianmin Shu
Michael C. Mozer
N. Heess
Yoshua Bengio
453
10
0
04 Oct 2022
Federated Offline Reinforcement Learning
Federated Offline Reinforcement LearningJournal of the American Statistical Association (JASA), 2022
D. Zhou
Yufeng Zhang
Aaron Sonabend-W
Zhaoran Wang
Junwei Lu
Tianxi Cai
OffRL
346
18
0
11 Jun 2022
CECILIA: Comprehensive Secure Machine Learning Framework
CECILIA: Comprehensive Secure Machine Learning FrameworkPatterns (Patterns), 2022
Ali Burak Ünal
Nícolas Pfeifer
Mete Akgün
327
5
0
07 Feb 2022
The Gradient Convergence Bound of Federated Multi-Agent Reinforcement
  Learning with Efficient Communication
The Gradient Convergence Bound of Federated Multi-Agent Reinforcement Learning with Efficient CommunicationIEEE Transactions on Wireless Communications (IEEE TWC), 2021
Xing Xu
Rongpeng Li
Zhifeng Zhao
Honggang Zhang
273
16
0
24 Mar 2021
1