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TiFL: A Tier-based Federated Learning System

TiFL: A Tier-based Federated Learning System

IEEE International Symposium on High-Performance Parallel Distributed Computing (HPDC), 2020
25 January 2020
Zheng Chai
Ahsan Ali
Syed Zawad
Stacey Truex
Ali Anwar
Nathalie Baracaldo
Yi Zhou
Heiko Ludwig
Feng Yan
Yue Cheng
    FedML
ArXiv (abs)PDFHTML

Papers citing "TiFL: A Tier-based Federated Learning System"

50 / 99 papers shown
Personalized Collaborative Learning with Affinity-Based Variance Reduction
Personalized Collaborative Learning with Affinity-Based Variance Reduction
Chenyu Zhang
Navid Azizan
151
0
0
17 Oct 2025
FedSSG: Expectation-Gated and History-Aware Drift Alignment for Federated Learning
FedSSG: Expectation-Gated and History-Aware Drift Alignment for Federated Learning
Zhanting Zhou
Jinshan Lai
Fengchun Zhang
Zeqin Wu
Fengli Zhang
FedML
131
0
0
17 Sep 2025
Green Federated Learning via Carbon-Aware Client and Time Slot Scheduling
Green Federated Learning via Carbon-Aware Client and Time Slot Scheduling
Daniel Richards Arputharaj
Charlotte Rodriguez
Angelo Rodio
Giovanni Neglia
218
1
0
10 Sep 2025
Semi-decentralized Federated Time Series Prediction with Client Availability Budgets
Semi-decentralized Federated Time Series Prediction with Client Availability BudgetsConference on Computer Communications Workshops (INFOCOM Workshops), 2025
Yunkai Bao
Reza Safarzadeh
Xin Eric Wang
Steve Drew
168
0
0
03 Sep 2025
Optimizing Federated Learning for Scalable Power-demand Forecasting in Microgrids
Optimizing Federated Learning for Scalable Power-demand Forecasting in MicrogridseScience (eScience), 2025
Roopkatha Banerjee
Sampath Koti
Gyanendra Singh
Anirban Chakraborty
Gurunath Gurrala
Bhushan Jagyasi
Yogesh Simmhan
202
1
0
11 Aug 2025
SenseCrypt: Sensitivity-guided Selective Homomorphic Encryption for Joint Federated Learning in Cross-Device Scenarios
SenseCrypt: Sensitivity-guided Selective Homomorphic Encryption for Joint Federated Learning in Cross-Device Scenarios
Borui Li
Li Yan
Junhao Han
Jianmin Liu
Lei Yu
FedML
180
0
0
06 Aug 2025
Hypernetworks for Model-Heterogeneous Personalized Federated Learning
Hypernetworks for Model-Heterogeneous Personalized Federated Learning
Chen Zhang
Husheng Li
Xiang Liu
Linshan Jiang
Danxin Wang
FedML
233
0
0
30 Jul 2025
FedABC: Attention-Based Client Selection for Federated Learning with Long-Term View
FedABC: Attention-Based Client Selection for Federated Learning with Long-Term View
Wenxuan Ye
Xueli An
Junfan Wang
Xueqiang Yan
Georg Carle
FedML
256
0
0
28 Jul 2025
From Privacy to Trust in the Agentic Era: A Taxonomy of Challenges in Trustworthy Federated Learning Through the Lens of Trust Report 2.0
From Privacy to Trust in the Agentic Era: A Taxonomy of Challenges in Trustworthy Federated Learning Through the Lens of Trust Report 2.0
Nuria Rodríguez-Barroso
Mario García-Márquez
M. V. Luzón
Francisco Herrera
FedML
229
3
0
21 Jul 2025
Optimizing Federated Learning using Remote Embeddings for Graph Neural Networks
Optimizing Federated Learning using Remote Embeddings for Graph Neural Networks
Pranjal Naman
Yogesh Simmhan
FedMLAI4CE
216
1
0
14 Jun 2025
RIFLES: Resource-effIcient Federated LEarning via Scheduling
RIFLES: Resource-effIcient Federated LEarning via Scheduling
Sara Alosaime
Arshad Jhumka
FedML
261
0
0
19 May 2025
Empirical Analysis of Asynchronous Federated Learning on Heterogeneous Devices: Efficiency, Fairness, and Privacy Trade-offs
Empirical Analysis of Asynchronous Federated Learning on Heterogeneous Devices: Efficiency, Fairness, and Privacy Trade-offs
Samaneh Mohammadi
Iraklis Symeonidis
Ali Balador
Francesco Flammini
FedML
209
2
0
11 May 2025
FedX: Adaptive Model Decomposition and Quantization for IoT Federated Learning
FedX: Adaptive Model Decomposition and Quantization for IoT Federated Learning
Phung Lai
Xiaopeng Jiang
Hai Phan
Cristian Borcea
K. Tran
An M. Chen
Vijaya Datta Mayyuri
Ruoming Jin
FedMLMQ
451
2
0
17 Apr 2025
FLStore: Efficient Federated Learning Storage for non-training workloads
FLStore: Efficient Federated Learning Storage for non-training workloads
Ahmad Faraz Khan
Samuel Fountain
Ahmed M. Abdelmoniem
A. R. Butt
A. Anwar
FedML
380
0
0
01 Mar 2025
BEFL: Balancing Energy Consumption in Federated Learning for Mobile Edge
  IoT
BEFL: Balancing Energy Consumption in Federated Learning for Mobile Edge IoT
Zehao Ju
Tongquan Wei
Fuke Shen
293
0
0
05 Dec 2024
Breaking the Memory Wall for Heterogeneous Federated Learning via Model
  Splitting
Breaking the Memory Wall for Heterogeneous Federated Learning via Model SplittingIEEE Transactions on Parallel and Distributed Systems (TPDS), 2024
Chunlin Tian
Li Li
Kahou Tam
Yebo Wu
Chengzhong Xu
FedML
276
9
0
12 Oct 2024
HERL: Tiered Federated Learning with Adaptive Homomorphic Encryption
  using Reinforcement Learning
HERL: Tiered Federated Learning with Adaptive Homomorphic Encryption using Reinforcement Learning
Jiaxang Tang
Zeshan Fayyaz
M. A. Salahuddin
R. Boutaba
Zhi-Li Zhang
Ali Anwar
FedML
246
0
0
11 Sep 2024
DynamicFL: Federated Learning with Dynamic Communication Resource
  Allocation
DynamicFL: Federated Learning with Dynamic Communication Resource AllocationBigData Congress [Services Society] (BSS), 2024
Qi Le
Enmao Diao
Xinran Wang
Vahid Tarokh
Jie Ding
Ali Anwar
FedML
334
4
0
08 Sep 2024
NeuLite: Memory-Efficient Federated Learning via Elastic Progressive
  Training
NeuLite: Memory-Efficient Federated Learning via Elastic Progressive Training
Yebo Wu
Li Li
Chunlin Tian
Dubing Chen
Chengzhong Xu
FedML
344
5
0
20 Aug 2024
Addressing Heterogeneity in Federated Learning: Challenges and Solutions
  for a Shared Production Environment
Addressing Heterogeneity in Federated Learning: Challenges and Solutions for a Shared Production EnvironmentIEEE International Symposium on Multimedia (ISM), 2024
T. Legler
Vinit Hegiste
Ahmed Anwar
Martin Ruskowski
261
12
0
18 Aug 2024
Heterogeneity-Aware Memory Efficient Federated Learning via Progressive
  Layer Freezing
Heterogeneity-Aware Memory Efficient Federated Learning via Progressive Layer FreezingInternational Workshop on Quality of Service (IWQoS), 2024
Wu Yebo
Li Li
Tian Chunlin
Chang Tao
Lin Chi
Wang Cong
Xu Cheng-Zhong
FedML
252
19
0
17 Aug 2024
Personalized Federated Learning on Heterogeneous and Long-Tailed Data
  via Expert Collaborative Learning
Personalized Federated Learning on Heterogeneous and Long-Tailed Data via Expert Collaborative Learning
Fengling Lv
Xinyi Shang
Yang Zhou
Yiqun Zhang
Mengke Li
Yang Lu
FedML
330
1
0
04 Aug 2024
PowerTrain: Fast, Generalizable Time and Power Prediction Models to
  Optimize DNN Training on Accelerated Edges
PowerTrain: Fast, Generalizable Time and Power Prediction Models to Optimize DNN Training on Accelerated Edges
Prashanthi S.K.
Saisamarth Taluri
Beautlin S
Lakshya Karwa
Yogesh L. Simmhan
218
6
0
18 Jul 2024
Asynchronous Byzantine Federated Learning
Asynchronous Byzantine Federated Learning
Bart Cox
Abele Malan
Lydia Y. Chen
Jérémie Decouchant
304
3
0
03 Jun 2024
Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations
Advances in Robust Federated Learning: A Survey with Heterogeneity ConsiderationsIEEE Transactions on Big Data (IEEE Trans. Big Data), 2024
Chuan Chen
Tianchi Liao
Xiaojun Deng
Zihou Wu
Sheng Huang
Zibin Zheng
FedML
431
2
0
16 May 2024
FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization
FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based OptimizationInternational Joint Conference on Artificial Intelligence (IJCAI), 2024
Zhiyuan Ning
Chunlin Tian
Meng Xiao
Wei Fan
Pengyang Wang
Li Li
P. Wang
Yuanchun Zhou
288
17
0
10 May 2024
Ranking-based Client Selection with Imitation Learning for Efficient
  Federated Learning
Ranking-based Client Selection with Imitation Learning for Efficient Federated Learning
Chunlin Tian
Zhanying Shi
Xinpeng Qin
Li Li
Chengzhong Xu
FedML
227
3
0
07 May 2024
Communication-Efficient Training Workload Balancing for Decentralized
  Multi-Agent Learning
Communication-Efficient Training Workload Balancing for Decentralized Multi-Agent Learning
Seyed Mahmoud Sajjadi Mohammadabadi
Lei Yang
Feng Yan
Junshan Zhang
269
16
0
01 May 2024
Apodotiko: Enabling Efficient Serverless Federated Learning in
  Heterogeneous Environments
Apodotiko: Enabling Efficient Serverless Federated Learning in Heterogeneous Environments
Mohak Chadha
Alexander Jensen
Jianfeng Gu
Osama Abboud
Michael Gerndt
320
0
0
22 Apr 2024
Adaptive Heterogeneous Client Sampling for Federated Learning over
  Wireless Networks
Adaptive Heterogeneous Client Sampling for Federated Learning over Wireless Networks
Bing Luo
Wenli Xiao
Maroun Touma
Jianwei Huang
Leandros Tassiulas
FedML
287
17
0
22 Apr 2024
FedEGG: Federated Learning with Explicit Global Guidance
FedEGG: Federated Learning with Explicit Global Guidance
Kun Zhai
Yifeng Gao
Jiabo He
Difan Zou
Guangnan Ye
Yu-Gang Jiang
Yu-Gang Jiang
FedML
252
0
0
18 Apr 2024
From Learning to Analytics: Improving Model Efficacy with Goal-Directed
  Client Selection
From Learning to Analytics: Improving Model Efficacy with Goal-Directed Client Selection
Jingwen Tong
Zhenzhen Chen
Liqun Fu
Jun Zhang
Zhu Han
FedML
260
1
0
30 Mar 2024
FedSR: A Semi-Decentralized Federated Learning Algorithm for Non-IIDness
  in IoT System
FedSR: A Semi-Decentralized Federated Learning Algorithm for Non-IIDness in IoT System
Jianjun Huang
Lixin Ye
Li Kang
FedML
159
3
0
19 Mar 2024
DA-PFL: Dynamic Affinity Aggregation for Personalized Federated Learning
DA-PFL: Dynamic Affinity Aggregation for Personalized Federated Learning
Xu Yang
Jiyuan Feng
Songyue Guo
Ye Wang
Ye Ding
Binxing Fang
Qing Liao
FedML
291
1
0
14 Mar 2024
A Comprehensive Survey of Federated Transfer Learning: Challenges,
  Methods and Applications
A Comprehensive Survey of Federated Transfer Learning: Challenges, Methods and Applications
Wei Guo
Fuzhen Zhuang
Qi. Wang
Yiqi Tong
Jin Dong
FedML
357
59
0
03 Mar 2024
Lotto: Secure Participant Selection against Adversarial Servers in
  Federated Learning
Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning
Zhifeng Jiang
Peng Ye
Shiqi He
Wei Wang
Ruichuan Chen
Bo Li
409
6
0
05 Jan 2024
Towards Reliable Participation in UAV-Enabled Federated Edge Learning on
  Non-IID Data
Towards Reliable Participation in UAV-Enabled Federated Edge Learning on Non-IID DataIEEE Open Journal of Vehicular Technology (IEEE Open J. Veh. Technol.), 2023
Youssra Cheriguene
Wael Jaafar
H. Yanikomeroglu
C. A. Kerrache
251
16
0
16 Dec 2023
Venn: Resource Management for Collaborative Learning Jobs
Venn: Resource Management for Collaborative Learning Jobs
Jiachen Liu
Fan Lai
Ding Ding
Yiwen Zhang
Mosharaf Chowdhury
FedML
309
1
0
13 Dec 2023
Speed Up Federated Learning in Heterogeneous Environment: A Dynamic
  Tiering Approach
Speed Up Federated Learning in Heterogeneous Environment: A Dynamic Tiering Approach
Seyed Mahmoud Sajjadi Mohammadabadi
Syed Zawad
Feng Yan
Lei Yang
FedML
279
8
0
09 Dec 2023
Scheduling and Communication Schemes for Decentralized Federated
  Learning
Scheduling and Communication Schemes for Decentralized Federated LearningInternational Conference on Computing: Theory and Applications (ICCTA), 2022
Bahaa-Elden A. Abdelghany
M. Fernández-Veiga
Ana Fernández Vilas
Nashwa El-Bendary
A. Hassan
W. Abdelmoez
FedML
183
2
0
27 Nov 2023
PPFL: A Personalized Federated Learning Framework for Heterogeneous Population
PPFL: A Personalized Federated Learning Framework for Heterogeneous PopulationINFORMS journal on computing (IJOC), 2023
Hao Di
Yi Yang
Haishan Ye
Xiangyu Chang
FedML
299
3
0
22 Oct 2023
Utilizing Free Clients in Federated Learning for Focused Model
  Enhancement
Utilizing Free Clients in Federated Learning for Focused Model Enhancement
Aditya Narayan Ravi
Ilan Shomorony
FedML
318
0
0
06 Oct 2023
Arena: A Learning-based Synchronization Scheme for Hierarchical
  Federated Learning--Technical Report
Arena: A Learning-based Synchronization Scheme for Hierarchical Federated Learning--Technical Report
Tianyu Qi
Yufeng Zhan
Peng Li
Jingcai Guo
Yuanqing Xia
FedML
246
14
0
20 Aug 2023
FLIPS: Federated Learning using Intelligent Participant Selection
FLIPS: Federated Learning using Intelligent Participant SelectionInternational Middleware Conference (Middleware), 2023
R. Bhope
K.R. Jayaram
N. Venkatasubramanian
Ashish Verma
Gegi Thomas
FedML
284
8
0
07 Aug 2023
MAS: Towards Resource-Efficient Federated Multiple-Task Learning
MAS: Towards Resource-Efficient Federated Multiple-Task LearningIEEE International Conference on Computer Vision (ICCV), 2023
Weiming Zhuang
Yonggang Wen
Lingjuan Lyu
Shuai Zhang
FedML
203
22
0
21 Jul 2023
Heterogeneous Federated Learning: State-of-the-art and Research
  Challenges
Heterogeneous Federated Learning: State-of-the-art and Research ChallengesACM Computing Surveys (ACM Comput. Surv.), 2023
Mang Ye
Xiuwen Fang
Bo Du
PongChi Yuen
Dacheng Tao
FedMLAAML
515
553
0
20 Jul 2023
Federated Learning for Computationally-Constrained Heterogeneous
  Devices: A Survey
Federated Learning for Computationally-Constrained Heterogeneous Devices: A SurveyACM Computing Surveys (ACM Comput. Surv.), 2023
Kilian Pfeiffer
Martin Rapp
R. Khalili
J. Henkel
FedML
306
107
0
18 Jul 2023
FedDCT: A Dynamic Cross-Tier Federated Learning Scheme in Wireless
  Communication Networks
FedDCT: A Dynamic Cross-Tier Federated Learning Scheme in Wireless Communication NetworksWireless Algorithms, Systems, and Applications (WASA), 2023
Peng Liu
Youquan Xian
Chuanjia Yao
Xiao-ying Gan
Liang Zhou
Jianyong Jiang
Dongcheng Li
FedML
147
0
0
10 Jul 2023
Towards Open Federated Learning Platforms: Survey and Vision from
  Technical and Legal Perspectives
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives
Moming Duan
Qinbin Li
Linshan Jiang
Bingsheng He
FedML
502
5
0
05 Jul 2023
Federated Learning on Non-iid Data via Local and Global Distillation
Federated Learning on Non-iid Data via Local and Global Distillation
Xiaolin Zheng
Senci Ying
Fei Zheng
Jianwei Yin
Longfei Zheng
Chaochao Chen
Fengqin Dong
FedML
243
11
0
26 Jun 2023
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