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Heterogeneous Federated Learning: State-of-the-art and Research Challenges

20 July 2023

Bo Du

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Papers citing "Heterogeneous Federated Learning: State-of-the-art and Research Challenges"

41 / 41 papers shown

Title
PQFed: A Privacy-Preserving Quality-Controlled Federated Learning Framework Weiqi Yue Wenbiao Li Yuzhou Jiang Anisa Halimi Roger French Erman Ayday FedML 16 0 0 25 Sep 2025
FedOC: Multi-Server FL with Overlapping Client Relays in Wireless Edge Networks Yun Ji Zeyu Chen Xiaoxiong Zhong Yanan Ma Sheng Zhang Yuguang Fang 20 0 0 23 Sep 2025
FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning Xiangyu Zhang Mang Ye FedML 44 0 0 30 Aug 2025
Choice Outweighs Effort: Facilitating Complementary Knowledge Fusion in Federated Learning via Re-calibration and Merit-discrimination Ming Yang Dongrun Li Xin Wang Xiaoyang Yu Xiaoming Wu Shibo He FedML 52 0 0 25 Aug 2025
Boosting Generalization Performance in Model-Heterogeneous Federated Learning Using Variational Transposed Convolution Ziru Niu Hai Dong •. A. K. Qin FedML 75 0 0 03 Aug 2025
Enhancing Quantum Federated Learning with Fisher Information-Based Optimization A. Bhatia Sabre Kais FedML 36 0 0 23 Jul 2025
FedStrategist: A Meta-Learning Framework for Adaptive and Robust Aggregation in Federated Learning Md Rafid Haque Abu Raihan Mostofa Kamal M. Hossain FedML 67 0 0 18 Jul 2025
Progressive Size-Adaptive Federated Learning: A Comprehensive Framework for Heterogeneous Multi-Modal Data Systems Sajid Hussain Muhammad Sohail Nauman Ali Khan Naima Iltaf Ihtesham ul Islam AI4TS 74 0 0 24 Jun 2025
Artificial Intelligence for Atmospheric Sciences: A Research Roadmap Martha Arbayani Zaidan Naser Hossein Motlagh Petteri Nurmi Tareq Hussein Markku Kulmala Tuukka Petäjä Sasu Tarkoma AI4CE 79 0 0 19 Jun 2025
PCDVQ: Enhancing Vector Quantization for Large Language Models via Polar Coordinate Decoupling Yuxuan Yue Zukang Xu Zhihang Yuan Dawei Yang Jianglong Wu Liqiang Nie MQ 172 1 0 05 Jun 2025
An Empirical Study of Federated Prompt Learning for Vision Language ModelInternational Joint Conference on Artificial Intelligence (IJCAI), 2021 Zhihao Wang Wenke Huang Tian Chen Zekun Shi Guancheng Wan Yu Qiao Bin Yang Jian Wang Bing Li Mang Ye FedML VLM 113 1 0 29 May 2025
Federated Instrumental Variable Analysis via Federated Generalized Method of Moments Geetika Somya Tyagi Bapi Chatterjee FedML 81 0 0 27 May 2025
Mosaic: Data-Free Knowledge Distillation via Mixture-of-Experts for Heterogeneous Distributed Environments Junming Liu Yanting Gao Siyuan Meng Yifei Sun Aoqi Wu Yufei Jin Yirong Chen Ding Wang Guosun Zeng 135 2 0 26 May 2025
Tool-Aided Evolutionary LLM for Generative Policy Toward Efficient Resource Management in Wireless Federated Learning Chongyang Tan Ruoqi Wen Rongpeng Li Zhifeng Zhao Ekram Hossain Honggang Zhang 186 1 0 16 May 2025
Federated EndoViT: Pretraining Vision Transformers via Federated Learning on Endoscopic Image Collections Max Kirchner Alexander C. Jenke S. Bodenstedt Fiona Kolbinger Oliver Saldanha Jakob N. Kather M. Wagner Stefanie Speidel FedML MedIm 224 2 0 23 Apr 2025
Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization Hao Mark Chen Zehuan Zhang Wanru Zhao Nicholas D. Lane Hongxiang Fan 132 0 0 21 Apr 2025
Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clients Xiuwen Fang Mang Ye Di Lin FedML 242 3 0 12 Mar 2025
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning Yanbiao Ma Wei-Ming Dai Wenke Huang Jiayi Chen 349 2 0 09 Mar 2025
Adaptive UAV-Assisted Hierarchical Federated Learning: Optimizing Energy, Latency, and Resilience for Dynamic Smart IoT Xiaohong Yang Minghui Liwang Liqun Fu Yuhan Su Seyyedali Hosseinalipour Xianbin Wang Yiguang Hong 172 0 0 08 Mar 2025
Knowledge Augmentation in Federation: Rethinking What Collaborative Learning Can Bring Back to Decentralized Data Wentai Wu Ligang He Saiqin Long Ahmed M. Abdelmoniem Yingliang Wu Rui Mao 181 0 0 05 Mar 2025
Robust Federated Learning in Unreliable Wireless Networks: A Client Selection Approach Longji Xu Wenkai Ji Jian Zhou Fu Xiao Tsung-Hui Chang 204 0 0 24 Feb 2025
Homophily Heterogeneity Matters in Graph Federated Learning: A Spectrum Sharing and Complementing Perspective Wentao Yu FedML 138 0 0 20 Feb 2025
Preconditioned Inexact Stochastic ADMM for Deep Model Shenglong Zhou Ouya Wang Ziyan Luo Yongxu Zhu Geoffrey Ye Li 158 1 0 15 Feb 2025
FedTLU: Federated Learning with Targeted Layer Updates Jong-Ik Park Carlee Joe-Wong FedML 222 0 0 28 Jan 2025
FedPref: Federated Learning Across Heterogeneous Multi-objective Preferences Maria Hartmann Grégoire Danoy Pascal Bouvry FedML 128 2 0 23 Jan 2025
Towards Federated Multi-Armed Bandit Learning for Content Dissemination using Swarm of UAVs Amit Kumar Bhuyan H. Dutta S. Biswas 145 1 0 15 Jan 2025
Task Arithmetic Through The Lens Of One-Shot Federated Learning Zhixu Tao I. Mason Sanjeev R. Kulkarni Xavier Boix MoMe FedML 238 9 0 27 Nov 2024
Tackling Data Heterogeneity in Federated Time Series Forecasting Wei Yuan Guanhua Ye Xiangyu Zhao Quoc Viet Hung Nguyen Yang Cao Hongzhi Yin AI4TS 181 2 0 24 Nov 2024
Federated Time Series Generation on Feature and Temporally Misaligned Data Chenrui Fan Chenrui Fan Aditya Shankar Abele Malan Lydia Y. Chen FedML AI4TS 153 0 0 28 Oct 2024
Certifiably Robust Model Evaluation in Federated Learning under Meta-Distributional Shifts Amir Najafi Samin Mahdizadeh Sani Farzan Farnia OOD FedML 159 0 0 26 Oct 2024
Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees Xin Yu Zelin He Ying Sun Lingzhou Xue Runze Li FedML 300 1 0 11 Oct 2024
Adversarial Federated Consensus Learning for Surface Defect Classification Under Data Heterogeneity in IIoT Jixuan Cui Jun Li Zhen Mei Yiyang Ni Wen Chen Zengxiang Li FedML 73 0 0 24 Sep 2024
FedMCP: Parameter-Efficient Federated Learning with Model-Contrastive Personalization Qianyi Zhao Chen Qu Cen Chen Mingyuan Fan Yanhao Wang 153 1 0 28 Aug 2024
Addressing Heterogeneity in Federated Learning: Challenges and Solutions for a Shared Production Environment T. Legler Vinit Hegiste Ahmed Anwar Martin Ruskowski 91 2 0 18 Aug 2024
Federated Fairness Analytics: Quantifying Fairness in Federated Learning Oscar Dilley Juan Marcelo Parra Ullauri Rasheed Hussain Dimitra Simeonidou FedML 137 2 0 15 Aug 2024
On the Convergence of a Federated Expectation-Maximization Algorithm Zhixu Tao Rajita Chandak Sanjeev R. Kulkarni FedML 151 0 0 11 Aug 2024
Federated Learning as a Service for Hierarchical Edge Networks with Heterogeneous Models Wentao Gao Omid Tavallaie Shuaijun Chen Albert Zomaya FedML 123 8 0 30 Jul 2024
A Survey on LoRA of Large Language Models Yuren Mao Yuhang Ge Yijiang Fan Wenyi Xu Yu Mi Zhonghao Hu Yunjun Gao ALM 316 68 0 08 Jul 2024
Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective Khiem H. Le Nhan Luong-Ha Manh Nguyen-Duc Danh Le-Phuoc Cuong D. Do Kok-Seng Wong FedML 132 4 0 30 May 2024
Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID Data Yu Qiao Chaoning Zhang Apurba Adhikary Choong Seon Hong FedML 93 10 0 10 Apr 2024
Adaptive Coded Federated Learning: Privacy Preservation and Straggler Mitigation Chengxi Li Ming Xiao Mikael Skoglund 123 4 0 22 Mar 2024