Federated Learning: Strategies for Improving Communication Efficiency

18 October 2016

Dave Bacon

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

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Title
Cross-Silo Federated Learning Across Divergent Domains with Iterative Parameter Alignment Matt Gorbett Hossein Shirazi Indrakshi Ray FedML 36 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 32 8 0 07 Nov 2023
Blind Federated Learning via Over-the-Air q-QAM Saeed Razavikia José Hélio da Cruz Júnior Carlo Fischione 47 4 0 07 Nov 2023
EControl: Fast Distributed Optimization with Compression and Error Control Yuan Gao Rustem Islamov Sebastian U. Stich 39 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 37 0 0 03 Nov 2023
Federated Learning on Edge Sensing Devices: A Review Berrenur Saylam Ozlem Durmaz Incel 34 1 0 02 Nov 2023
Federated Topic Model and Model Pruning Based on Variational Autoencoder Chengjie Ma Yawen Li M. Liang Ang Li FedML 18 1 0 01 Nov 2023
Compression with Exact Error Distribution for Federated Learning Mahmoud Hegazy Rémi Leluc Cheuk Ting Li Aymeric Dieuleveut FedML 18 9 0 31 Oct 2023
AsGrad: A Sharp Unified Analysis of Asynchronous-SGD Algorithms Rustem Islamov M. Safaryan Dan Alistarh FedML 34 13 0 31 Oct 2023
Escaping Saddle Points in Heterogeneous Federated Learning via Distributed SGD with Communication Compression Sijin Chen Zhize Li Yuejie Chi FedML 38 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 26 0 0 27 Oct 2023
Distributed Personalized Empirical Risk Minimization Yuyang Deng Mohammad Mahdi Kamani Pouria Mahdavinia M. Mahdavi 31 4 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 32 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 36 2 0 25 Oct 2023
Serverless Federated Learning with flwr-serverless Sanjeev V. Namjoshi Reese Green Krishi Sharma Zhangzhang Si 18 0 0 23 Oct 2023
Enhancing Accuracy-Privacy Trade-off in Differentially Private Split Learning Ngoc Duy Pham K. Phan Naveen Chilamkurti 29 3 0 22 Oct 2023
A Quadratic Synchronization Rule for Distributed Deep Learning Xinran Gu Kaifeng Lyu Sanjeev Arora Jingzhao Zhang Longbo Huang 54 1 0 22 Oct 2023
Distributed Linear Regression with Compositional Covariates Yue Chao Lei Huang Xuejun Ma 26 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 28 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 87 3 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 40 2 0 17 Oct 2023
Federated Learning with Nonvacuous Generalisation Bounds Pierre Jobic Maxime Haddouche Benjamin Guedj FedML 30 3 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 50 42 0 16 Oct 2023
Federated Learning with Convex Global and Local Constraints Chuan He Le Peng Ju Sun FedML 20 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 47 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 44 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 37 28 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 40 2 0 12 Oct 2023
Revisiting Decentralized ProxSkip: Achieving Linear Speedup Luyao Guo Sulaiman A. Alghunaim Kun Yuan Laurent Condat Jinde Cao FedML 36 1 0 12 Oct 2023
FedSym: Unleashing the Power of Entropy for Benchmarking the Algorithms for Federated Learning Ensiye Kiyamousavi Boris Kraychev Ivan Koychev FedML 16 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 42 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 17 0 0 09 Oct 2023
A Federated Learning Algorithms Development Paradigm Miroslav Popovic M. Popovic I. Kastelan Miodrag Djukic I. Basicevic 21 3 0 08 Oct 2023
Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning Experiences Fred Hohman Mary Beth Kery Donghao Ren Dominik Moritz 37 16 0 06 Oct 2023
Fundamental Limits of Distributed Optimization over Multiple Access Channel Shubham K. Jha 27 1 0 05 Oct 2023
Enhanced Federated Optimization: Adaptive Unbiased Sampling with Reduced Variance Dun Zeng Zenglin Xu Yu Pan Xu Luo Qifan Wang Xiaoying Tang FedML 25 1 0 04 Oct 2023
Adversarial Client Detection via Non-parametric Subspace Monitoring in the Internet of Federated Things Xianjian Xie Xiaochen Xian Dan Li Andi Wang 33 0 0 02 Oct 2023
FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models Jingwei Sun Ziyue Xu Hongxu Yin Dong Yang Daguang Xu Yiran Chen Holger R. Roth VLM 101 23 0 02 Oct 2023
Stability and Generalization for Minibatch SGD and Local SGD Yunwen Lei Tao Sun Mingrui Liu 38 3 0 02 Oct 2023
Federated Learning with Differential Privacy for End-to-End Speech Recognition Martin Pelikan Sheikh Shams Azam Vitaly Feldman Jan Honza Silovsky Kunal Talwar Tatiana Likhomanenko 50 8 0 29 Sep 2023
Forgetting Private Textual Sequences in Language Models via Leave-One-Out Ensemble Zhe Liu Ozlem Kalinli MU KELM 28 2 0 28 Sep 2023
Federated Deep Equilibrium Learning: A Compact Shared Representation for Edge Communication Efficiency Long Tan Le Tuan Dung Nguyen Tung-Anh Nguyen Choong Seon Hong Nguyen H. Tran FedML 34 0 0 27 Sep 2023
FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware Scheduler Zilinghan Li Pranshu Chaturvedi Shilan He Han-qiu Chen Gagandeep Singh Volodymyr V. Kindratenko Eliu A. Huerta Kibaek Kim Ravi K. Madduri FedML 42 9 0 26 Sep 2023
PA-iMFL: Communication-Efficient Privacy Amplification Method against Data Reconstruction Attack in Improved Multi-Layer Federated Learning Jianhua Wang Xiaolin Chang Jelena Mivsić Vojislav B. Mivsić Zhi Chen Junchao Fan 43 2 0 25 Sep 2023
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning Kangyang Luo Shuai Wang Y. Fu Xiang Li Yunshi Lan Minghui Gao FedML 36 23 0 24 Sep 2023
CORE: Common Random Reconstruction for Distributed Optimization with Provable Low Communication Complexity Pengyun Yue Hanzheng Zhao Cong Fang Di He Liwei Wang Zhouchen Lin Song-Chun Zhu 40 1 0 23 Sep 2023
Importance of Smoothness Induced by Optimizers in FL4ASR: Towards Understanding Federated Learning for End-to-End ASR Sheikh Shams Azam Tatiana Likhomanenko Martin Pelikan Jan Honza Silovsky 34 6 0 22 Sep 2023
Toward efficient resource utilization at edge nodes in federated learning Sadi Alawadi Addi Ait-Mlouk Salman Toor Andreas Hellander FedML 41 5 0 19 Sep 2023
FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning T. Shaik Xiaohui Tao Lin Li Haoran Xie Taotao Cai Xiaofeng Zhu Qingyuan Li MU 28 13 0 19 Sep 2023
Mitigating Adversarial Attacks in Federated Learning with Trusted Execution Environments Simon Queyrut V. Schiavoni Pascal Felber AAML FedML 37 6 0 13 Sep 2023