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Federated Learning: Strategies for Improving Communication Efficiency

18 October 2016

Dave Bacon

Papers citing "Federated Learning: Strategies for Improving Communication Efficiency"

50 / 1,868 papers shown

Title
VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular Federated Learning Luca Ballotta Nicolò Dal Fabbro Giovanni Perin Luca Schenato Michele Rossi Giuseppe Piro 104 1 0 30 Nov 2023
Federated Fine-Tuning of Foundation Models via Probabilistic Masking Vasileios Tsouvalas Yuki M. Asano Aaqib Saeed FedML 120 3 0 29 Nov 2023
Edge AI for Internet of Energy: Challenges and Perspectives Yassine Himeur A. Sayed A. Alsalemi F. Bensaali Abbes Amira 135 33 0 28 Nov 2023
Contrastive encoder pre-training-based clustered federated learning for heterogeneous data Ye Lin Tun Minh N. H. Nguyen Chu Myaet Thwal J. Choi Choong Seon Hong FedML 68 13 0 28 Nov 2023
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective Xianghua Xie Chen Hu Hanchi Ren Jingjing Deng FedML AAML 110 24 0 27 Nov 2023
Scheduling and Communication Schemes for Decentralized Federated Learning Bahaa-Elden A. Abdelghany M. Fernández-Veiga Ana Fernández Vilas Nashwa El-Bendary A. Hassan W. Abdelmoez FedML 72 1 0 27 Nov 2023
Evaluating Multi-Global Server Architecture for Federated Learning Asfia Kawnine Hung Cao Atah Nuh Mih Monica Wachowicz 71 0 0 26 Nov 2023
Eliminating Domain Bias for Federated Learning in Representation Space Jianqing Zhang Yang Hua Jian Cao Hao Wang Tao Song Zhengui Xue Ruhui Ma Haibing Guan FedML 117 35 0 25 Nov 2023
FedHCA $^2$ : Towards Hetero-Client Federated Multi-Task Learning Yuxiang Lu Suizhi Huang Yuwen Yang Shalayiding Sirejiding Yue Ding Hongtao Lu FedML 109 4 0 22 Nov 2023
FBChain: A Blockchain-based Federated Learning Model with Efficiency and Secure Communication Yang Li Chunhe Xia Wei Liu 140 0 0 21 Nov 2023
PACOL: Poisoning Attacks Against Continual Learners Huayu Li G. Ditzler AAML 63 3 0 18 Nov 2023
FedDiff: Diffusion Model Driven Federated Learning for Multi-Modal and Multi-Clients Daixun Li Weiying Xie Zixuan Wang YiBing Lu Yunsong Li Leyuan Fang FedML DiffM 158 25 0 16 Nov 2023
FedCode: Communication-Efficient Federated Learning via Transferring Codebooks Saeed Khalilian Gourtani Vasileios Tsouvalas T. Ozcelebi N. Meratnia FedML 103 5 0 15 Nov 2023
Scalable Federated Learning for Clients with Different Input Image Sizes and Numbers of Output Categories Shuhei Nitta Taiji Suzuki Albert Rodríguez Mulet A. Yaguchi Ryusuke Hirai FedML 73 0 0 15 Nov 2023
A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks Sara Babakniya Zalan Fabian Chaoyang He Mahdi Soltanolkotabi Salman Avestimehr FedML CLL 84 32 0 13 Nov 2023
EvoFed: Leveraging Evolutionary Strategies for Communication-Efficient Federated Learning Mohammad Mahdi Rahimi Hasnain Irshad Bhatti Younghyun Park Humaira Kousar Jaekyun Moon FedML 98 9 0 13 Nov 2023
A Federated Data Fusion-Based Prognostic Model for Applications with Multi-Stream Incomplete Signals Madi Arabi Xiaolei Fang FedML 45 0 0 13 Nov 2023
Personalized Online Federated Learning with Multiple Kernels P. M. Ghari Yanning Shen 103 13 0 09 Nov 2023
Cross-Silo Federated Learning Across Divergent Domains with Iterative Parameter Alignment Matt Gorbett Hossein Shirazi Indrakshi Ray FedML 89 2 0 08 Nov 2023
Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks Su Wang Roberto Morabito Seyyedali Hosseinalipour Mung Chiang Christopher G. Brinton FedML 59 8 0 07 Nov 2023
Blind Federated Learning via Over-the-Air q-QAM Saeed Razavikia José Hélio da Cruz Júnior Carlo Fischione 75 5 0 07 Nov 2023
EControl: Fast Distributed Optimization with Compression and Error Control Yuan Gao Rustem Islamov Sebastian U. Stich 91 8 0 06 Nov 2023
Cooperative Network Learning for Large-Scale and Decentralized Graphs Qiang Wu Yiming Huang Yujie Zeng Yujie Teng Fang Zhou Linyuan Lu GNN FedML 64 0 0 03 Nov 2023
Federated Learning on Edge Sensing Devices: A Review Berrenur Saylam Ozlem Durmaz Incel 99 1 0 02 Nov 2023
Federated Topic Model and Model Pruning Based on Variational Autoencoder Chengjie Ma Yawen Li M. Liang Ang Li FedML 29 1 0 01 Nov 2023
Compression with Exact Error Distribution for Federated Learning Mahmoud Hegazy Rémi Leluc Cheuk Ting Li Hadrien Hendrikx FedML 63 11 0 31 Oct 2023
AsGrad: A Sharp Unified Analysis of Asynchronous-SGD Algorithms Rustem Islamov M. Safaryan Dan Alistarh FedML 86 15 0 31 Oct 2023
Escaping Saddle Points in Heterogeneous Federated Learning via Distributed SGD with Communication Compression Sijin Chen Zhize Li Yuejie Chi FedML 85 5 0 29 Oct 2023
Weighted Sampled Split Learning (WSSL): Balancing Privacy, Robustness, and Fairness in Distributed Learning Environments Manish Osti Aashray Thakuri Basheer Qolomany Aos Mulahuwaish 54 0 0 27 Oct 2023
Distributed Personalized Empirical Risk Minimization Yuyang Deng Mohammad Mahdi Kamani Pouria Mahdavinia M. Mahdavi 68 5 0 26 Oct 2023
FedPEAT: Convergence of Federated Learning, Parameter-Efficient Fine Tuning, and Emulator Assisted Tuning for Artificial Intelligence Foundation Models with Mobile Edge Computing Terence Jie Chua Wen-li Yu Junfeng Zhao Kwok-Yan Lam FedML 58 5 0 26 Oct 2023
How Robust is Federated Learning to Communication Error? A Comparison Study Between Uplink and Downlink Channels Linping Qu Shenghui Song Chi-Ying Tsui Yuyi Mao 62 2 0 25 Oct 2023
Serverless Federated Learning with flwr-serverless Sanjeev V. Namjoshi Reese Green Krishi Sharma Zhangzhang Si 54 0 0 23 Oct 2023
Enhancing Accuracy-Privacy Trade-off in Differentially Private Split Learning Ngoc Duy Pham K. Phan Naveen Chilamkurti 70 4 0 22 Oct 2023
A Quadratic Synchronization Rule for Distributed Deep Learning Xinran Gu Kaifeng Lyu Sanjeev Arora Jingzhao Zhang Longbo Huang 94 1 0 22 Oct 2023
Distributed Linear Regression with Compositional Covariates Yue Chao Lei Huang Xuejun Ma 53 0 0 21 Oct 2023
Demystifying the Myths and Legends of Nonconvex Convergence of SGD Aritra Dutta El Houcine Bergou Soumia Boucherouite Nicklas Werge M. Kandemir Xin Li 75 0 0 19 Oct 2023
LASER: Linear Compression in Wireless Distributed Optimization Ashok Vardhan Makkuva Marco Bondaschi Thijs Vogels Martin Jaggi Hyeji Kim Michael C. Gastpar 163 4 0 19 Oct 2023
Enhancing Group Fairness in Online Settings Using Oblique Decision Forests Somnath Basu Roy Chowdhury Nicholas Monath Ahmad Beirami Rahul Kidambi Kumar Avinava Dubey Amr Ahmed Snigdha Chaturvedi 79 2 0 17 Oct 2023
Federated Learning with Nonvacuous Generalisation Bounds Pierre Jobic Maxime Haddouche Benjamin Guedj FedML 78 4 0 17 Oct 2023
Privacy in Large Language Models: Attacks, Defenses and Future Directions Haoran Li Yulin Chen Jinglong Luo Yan Kang Xiaojin Zhang Qi Hu Chunkit Chan Yangqiu Song PILM 118 45 0 16 Oct 2023
Federated Learning with Convex Global and Local Constraints Chuan He Le Peng Ju Sun FedML 84 1 0 16 Oct 2023
Communication Compression for Byzantine Robust Learning: New Efficient Algorithms and Improved Rates Ahmad Rammal Kaja Gruntkowska Nikita Fedin Eduard A. Gorbunov Peter Richtárik 87 5 0 15 Oct 2023
PAGE: Equilibrate Personalization and Generalization in Federated Learning Qian Chen Zilong Wang Jiaqi Hu Haonan Yan Jianying Zhou Xiao-La Lin FedML 89 4 0 13 Oct 2023
Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction Hanhan Zhou Tian-Shing Lan Guru Venkataramani Wenbo Ding 94 31 0 12 Oct 2023
2SFGL: A Simple And Robust Protocol For Graph-Based Fraud Detection Zhirui Pan Guangzhong Wang Zhaoning Li Lifeng Chen Yang Bian Zhongyuan Lai FedML 91 2 0 12 Oct 2023
FedSym: Unleashing the Power of Entropy for Benchmarking the Algorithms for Federated Learning Ensiye Kiyamousavi Boris Kraychev Ivan Koychev FedML 58 0 0 11 Oct 2023
The Implications of Decentralization in Blockchained Federated Learning: Evaluating the Impact of Model Staleness and Inconsistencies F. Wilhelmi Nima Afraz Elia Guerra Paolo Dini 70 3 0 11 Oct 2023
On the Convergence of Federated Averaging under Partial Participation for Over-parameterized Neural Networks Xin Liu Wei Tao Dazhi Zhan Yu Pan Xin Ma Yu Ding Zhisong Pan FedML 77 0 0 09 Oct 2023
A Federated Learning Algorithms Development Paradigm Miroslav Popovic M. Popovic I. Kastelan Miodrag Djukic I. Basicevic 58 5 0 08 Oct 2023