Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

13 September 2019

Papers citing "Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification"

50 / 613 papers shown

Title
Efficient Privacy-Preserving Cross-Silo Federated Learning with Multi-Key Homomorphic Encryption Abdullah Al Omar Xin Yang Euijin Choo Omid Ardakanian 7 0 0 20 May 2025
FedCTTA: A Collaborative Approach to Continual Test-Time Adaptation in Federated Learning Rakibul Hasan Rajib Md Akil Raihan Iftee Mir Sazzat Hossain A. K. M. Mahbubur Rahman Sajib Mistry M Ashraful Amin Amin Ahsan Ali FedML TTA 24 0 0 19 May 2025
FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA Seanie Lee Sangwoo Park Dong Bok Lee Dominik Wagner Haebin Seong Tobias Bocklet Juho Lee Sung Ju Hwang FedML 17 0 0 19 May 2025
Energy-Efficient Federated Learning for AIoT using Clustering Methods Roberto Pereira Fernanda Famá Charalampos Kalalas Paolo Dini 19 0 0 14 May 2025
FedRS-Bench: Realistic Federated Learning Datasets and Benchmarks in Remote Sensing Haodong Zhao Peng Peng Chiyu Chen Linqing Huang Gongshen Liu FedML 43 0 0 13 May 2025
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence Yu Qiao Huy Q. Le Avi Deb Raha Phuong-Nam Tran Apurba Adhikary Mengchun Zhang Loc X. Nguyen Eui-nam Huh Dusit Niyato Choong Seon Hong AI4CE 36 0 0 11 May 2025
Communication-Efficient Federated Fine-Tuning of Language Models via Dynamic Update Schedules Michail Theologitis V. Samoladas Antonios Deligiannakis 36 0 0 07 May 2025
Small-Scale-Fading-Aware Resource Allocation in Wireless Federated Learning Jiacheng Wang Le Liang Hao Ye Chongtao Guo Shi Jin 49 0 0 06 May 2025
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data Ljubomir Rokvic Panayiotis Danassis Boi Faltings FedML 43 0 0 05 May 2025
Towards Trustworthy Federated Learning with Untrusted Participants Youssef Allouah R. Guerraoui John Stephan FedML 60 0 0 03 May 2025
Soft-Label Caching and Sharpening for Communication-Efficient Federated Distillation Kitsuya Azuma Takayuki Nishio Yuichi Kitagawa Wakako Nakano Takahito Tanimura FedML 72 0 0 28 Apr 2025
Federated Learning: A Survey on Privacy-Preserving Collaborative Intelligence Edward Collins Michel Wang FedML 36 0 0 24 Apr 2025
TrojanDam: Detection-Free Backdoor Defense in Federated Learning through Proactive Model Robustification utilizing OOD Data Yanbo Dai Songze Li Zihan Gan Xueluan Gong AAML FedML 40 0 0 22 Apr 2025
Diversity-Driven Learning: Tackling Spurious Correlations and Data Heterogeneity in Federated Models Gergely Németh Eros Fani Yeat Jeng Ng Barbara Caputo M. Lozano Nuria Oliver Novi Quadrianto FedML 40 0 0 15 Apr 2025
Accelerating Differentially Private Federated Learning via Adaptive Extrapolation Shokichi Takakura Seng Pei Liew Satoshi Hasegawa FedML 40 0 0 14 Apr 2025
FedMerge: Federated Personalization via Model Merging Shutong Chen Tianyi Zhou Guodong Long Jing Jiang Chengqi Zhang FedML MoMe 54 0 0 09 Apr 2025
FedEFC: Federated Learning Using Enhanced Forward Correction Against Noisy Labels Seunghun Yu Jin-Hyun Ahn Joonhyuk Kang FedML 53 0 0 08 Apr 2025
Federated Unlearning Made Practical: Seamless Integration via Negated Pseudo-Gradients Alessio Mora Carlo Mazzocca R. Montanari Paolo Bellavista MU 26 0 0 08 Apr 2025
SparsyFed: Sparse Adaptive Federated Training Adriano Guastella Lorenzo Sani Alex Iacob Alessio Mora Paolo Bellavista Nicholas D. Lane FedML 31 0 0 07 Apr 2025
A Novel Algorithm for Personalized Federated Learning: Knowledge Distillation with Weighted Combination Loss Hengrui Hu Anai N. Kothari Anjishnu Banerjee FedML 43 0 0 06 Apr 2025
Corrected with the Latest Version: Make Robust Asynchronous Federated Learning Possible Chaoyi Lu Yiding Sun Pengbo Li Zhichuan Yang FedML 41 0 0 05 Apr 2025
EMO: Edge Model Overlays to Scale Model Size in Federated Learning Di Wu Weibo He Wanglei Feng Z. Wen Bin Qian Blesson Varghese 50 0 0 01 Apr 2025
FedCAPrivacy: Privacy-Preserving Heterogeneous Federated Learning with Anonymous Adaptive Clustering Yunan Wei Shengnan Zhao Chuan Zhao Zhe Liu Zhenxiang Chen Minghao Zhao FedML 41 0 0 30 Mar 2025
FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors Changlong Shi He Zhao Bingjie Zhang Mingyuan Zhou Dandan Guo Yi Chang 47 0 0 20 Mar 2025
FedBEns: One-Shot Federated Learning based on Bayesian Ensemble Jacopo Talpini Marco Savi Giovanni Neglia FedML Presented at ResearchTrend Connect \| FedML on 07 May 2025 85 0 0 19 Mar 2025
FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking Changlong Shi Jinmeng Li He Zhao D. Guo Yi Chang FedML 57 0 0 19 Mar 2025
Redefining non-IID Data in Federated Learning for Computer Vision Tasks: Migrating from Labels to Embeddings for Task-Specific Data Distributions Kasra Borazjani Payam Abdisarabshali Naji Khosravan Seyyedali Hosseinalipour FedML 41 1 0 17 Mar 2025
Federated Continual Instruction Tuning Haiyang Guo Fanhu Zeng Fei Zhu Wenzhuo Liu Da-Han Wang Jian Xu Xu-Yao Zhang Cheng-Lin Liu CLL FedML 70 1 0 17 Mar 2025
Communication-Efficient Language Model Training Scales Reliably and Robustly: Scaling Laws for DiLoCo Zachary B. Charles Gabriel Teston Lucio Dery Keith Rush Nova Fallen Zachary Garrett Arthur Szlam Arthur Douillard 232 1 0 12 Mar 2025
Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection Jiahao Xu Zikai Zhang Rui Hu AAML FedML Presented at ResearchTrend Connect \| FedML on 28 Mar 2025 157 2 0 11 Mar 2025
Federated Multimodal Learning with Dual Adapters and Selective Pruning for Communication and Computational Efficiency Duy Phuong Nguyen J. P. Muñoz Tanya Roosta Ali Jannesari FedML 67 0 0 10 Mar 2025
Data-Free Black-Box Federated Learning via Zeroth-Order Gradient Estimation Xinge Ma Jin Wang Xuejie Zhang FedML 78 0 0 08 Mar 2025
Federated Inverse Probability Treatment Weighting for Individual Treatment Effect Estimation Changchang Yin Hong-You Chen Wei-Lun Chao Ping Zhang CML 68 0 0 06 Mar 2025
MAB-Based Channel Scheduling for Asynchronous Federated Learning in Non-Stationary Environments Zehan Li Yubo Yang Tao Yang X. Wu Ziyu Guo Bo Hu 64 0 0 03 Mar 2025
A Lightweight and Secure Deep Learning Model for Privacy-Preserving Federated Learning in Intelligent Enterprises Reza Fotohi Fereidoon Shams Aliee Bahar Farahani FedML 73 1 0 03 Mar 2025
FLAME: A Federated Learning Benchmark for Robotic Manipulation Santiago Bou Betran Alberta Longhini Miguel Vasco Yuchong Zhang Danica Kragic 72 0 0 03 Mar 2025
Communication-Efficient Device Scheduling for Federated Learning Using Lyapunov Optimization Jake B. Perazzone Shiqiang Wang Mingyue Ji Kevin S. Chan FedML 75 0 0 01 Mar 2025
FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated Clients Leming Shen Qiang Yang Kaiyan Cui Yuanqing Zheng Xiao-Yong Wei Jianwei Liu Jinsong Han FedML 79 11 0 28 Feb 2025
CLLoRA: An Approach to Measure the Effects of the Context Length for LLM Fine-Tuning Ping Zhang Zhaorui Zhang Sheng Di Yao Xin Benben Liu 50 2 0 26 Feb 2025
Orthogonal Calibration for Asynchronous Federated Learning Jiayun Zhang Shuheng Li Haiyu Huang Xiaofan Yu Rajesh K. Gupta Jingbo Shang FedML 65 0 0 21 Feb 2025
Decentralized and Robust Privacy-Preserving Model Using Blockchain-Enabled Federated Deep Learning in Intelligent Enterprises Reza Fotohi Fereidoon Shams Aliee Bahar Farahani FedML 82 8 0 18 Feb 2025
FedMHO: Heterogeneous One-Shot Federated Learning Towards Resource-Constrained Edge Devices Dezhong Yao Yuexin Shi Tongtong Liu Zhiqiang Xu 69 1 0 12 Feb 2025
Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data Judith Sáinz-Pardo Díaz Á. García 36 0 0 28 Jan 2025
Scalable Decentralized Learning with Teleportation Yuki Takezawa Sebastian U. Stich 72 1 0 25 Jan 2025
FedCLEAN: byzantine defense by CLustering Errors of Activation maps in Non-IID federated learning environments Mehdi Ben Ghali Reda Bellafqira Gouenou Coatrieux AAML FedML 50 0 0 21 Jan 2025
FedSat: A Statistical Aggregation Approach for Class Imbalanced Clients in Federated Learning S. Chowdhury Raju Halder FedML 40 0 0 31 Dec 2024
Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification Nishant S. Gaikwad Lucas Heublein N. Raichur Tobias Feigl Christopher Mutschler Felix Ott 58 5 0 31 Dec 2024
FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Siddharth Ambekar Yuhang Yao Ryan Li Carlee Joe-Wong FedML 90 0 0 20 Dec 2024
The Impact of Cut Layer Selection in Split Federated Learning Justin Dachille Chao Huang Xin Liu FedML 83 0 0 20 Dec 2024
SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning Xinyang Liu Pengchao Han Xuan Li Bo Liu 66 0 0 18 Dec 2024