FedALA: Adaptive Local Aggregation for Personalized Federated Learning

2 December 2022

Papers citing "FedALA: Adaptive Local Aggregation for Personalized Federated Learning"

21 / 21 papers shown

Title
Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Md. Tanzib Hosain Asif Zaman Md. Shahriar Sajid Shadman Sakeeb Khan Shanjida Akter 45 0 0 03 May 2025
A Generalized Meta Federated Learning Framework with Theoretical Convergence Guarantees Mohammad Vahid Jamali Hamid Saber J. Bae FedML 39 0 0 30 Apr 2025
FedEPA: Enhancing Personalization and Modality Alignment in Multimodal Federated Learning Yu Zhang Qingfeng Du Jiaqi Lv 31 0 0 16 Apr 2025
Controlled privacy leakage propagation throughout overlapping grouped learning Shahrzad Kiani Franziska Boenisch S. Draper FedML 72 0 0 06 Mar 2025
FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data Yuxia Sun Aoxiang Sun Siyi Pan Zhixiao Fu Jingcai Guo 83 0 0 11 Feb 2025
FedAGHN: Personalized Federated Learning with Attentive Graph HyperNetworks Jiarui Song Yunheng Shen Chengbin Hou Pengyu Wang Jinbao Wang Ke Tang Hairong Lv FedML 44 1 0 24 Jan 2025
Federated Instruction Tuning of LLMs with Domain Coverage Augmentation Zezhou Wang Yaxin Du Zhuzhong Qian Yugang Jiang Zhuzhong Qian Siheng Chen FedML 128 0 0 30 Sep 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 30 0 0 24 Sep 2024
The Key of Parameter Skew in Federated Learning Sifan Wang Junfeng Liao Ye Yuan Riquan Zhang FedML 31 0 0 21 Aug 2024
Federated Distillation for Medical Image Classification: Towards Trustworthy Computer-Aided Diagnosis Sufen Ren Yule Hu Shengchao Chen Guanjun Wang 29 1 0 02 Jul 2024
Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients Farhad Pourpanah Mahdiyar Molahasani Milad Soltany Michael A. Greenspan Ali Etemad FedML OOD 81 2 0 25 May 2024
FedCRL: Personalized Federated Learning with Contrastive Shared Representations for Label Heterogeneity in Non-IID Data Chenghao Huang Xiaolu Chen Yanru Zhang Hao Wang FedML 38 1 0 27 Apr 2024
FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter Update Ziru Niu Hai Dong •. A. K. Qin 34 2 0 18 Mar 2024
Towards Fast and Stable Federated Learning: Confronting Heterogeneity via Knowledge Anchor Jinqian Chen Jihua Zhu Qinghai Zheng 38 3 0 05 Dec 2023
A Blockchain-empowered Multi-Aggregator Federated Learning Architecture in Edge Computing with Deep Reinforcement Learning Optimization Xiao Li Wei Wu 18 0 0 14 Oct 2023
Efficient Model Personalization in Federated Learning via Client-Specific Prompt Generation Fu-En Yang Chien-Yi Wang Yu-Chiang Frank Wang VLM FedML 21 59 0 29 Aug 2023
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning Jianqing Zhang Yang Hua Hao Wang Tao Song Zhengui Xue Ruhui Ma Jianyin Cao Haibing Guan 37 23 0 20 Aug 2023
No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier Zexi Li Xinyi Shang Rui He Tao R. Lin Chao Wu FedML 39 54 0 17 Mar 2023
Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning Jun-Jie Luo Shandong Wu OOD MQ 60 75 0 15 Oct 2021
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 162 760 0 28 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 311 11,681 0 09 Mar 2017