EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning

19 August 2021

Papers citing "EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning"

30 / 30 papers shown

Title
FedFetch: Faster Federated Learning with Adaptive Downstream Prefetching Qifan Yan Andrew Liu Shiqi He Mathias Lécuyer Ivan Beschastnikh FedML 36 0 0 21 Apr 2025
PREAMBLE: Private and Efficient Aggregation of Block Sparse Vectors and Applications Hilal Asi Vitaly Feldman Hannah Keller G. Rothblum Kunal Talwar FedML 59 1 0 14 Mar 2025
Pushing the Limits of Large Language Model Quantization via the Linearity Theorem Vladimir Malinovskii Andrei Panferov Ivan Ilin Han Guo Peter Richtárik Dan Alistarh MQ 78 7 0 26 Nov 2024
Noise-Robust and Resource-Efficient ADMM-based Federated Learning Ehsan Lari Reza Arablouei Vinay Chakravarthi Gogineni Stefan Werner FedML 26 1 0 20 Sep 2024
Masked Random Noise for Communication Efficient Federaetd Learning Shiwei Li Yingyi Cheng Haozhao Wang Xing Tang Shijie Xu Weihong Luo Yuhua Li Dugang Liu Xiuqiang He and Ruixuan Li FedML 50 1 0 06 Aug 2024
Beyond Throughput and Compression Ratios: Towards High End-to-end Utility of Gradient Compression Wenchen Han S. Vargaftik Michael Mitzenmacher Brad Karp Ran Ben-Basat 40 2 0 01 Jul 2024
EncCluster: Scalable Functional Encryption in Federated Learning through Weight Clustering and Probabilistic Filters Vasileios Tsouvalas Samaneh Mohammadi Ali Balador T. Ozcelebi Francesco Flammini N. Meratnia FedML 36 0 0 13 Jun 2024
Blockchain-empowered Federated Learning: Benefits, Challenges, and Solutions Zeju Cai Jianguo Chen Yuting Fan Zibin Zheng Keqin Li 41 4 0 01 Mar 2024
Optimal and Near-Optimal Adaptive Vector Quantization Ran Ben-Basat Y. Ben-Itzhak Michael Mitzenmacher S. Vargaftik MQ 24 3 0 05 Feb 2024
Federated Fine-Tuning of Foundation Models via Probabilistic Masking Vasileios Tsouvalas Yuki M. Asano Aaqib Saeed FedML 79 3 0 29 Nov 2023
FedCode: Communication-Efficient Federated Learning via Transferring Codebooks Saeed Khalilian Gourtani Vasileios Tsouvalas T. Ozcelebi N. Meratnia FedML 30 5 0 15 Nov 2023
Correlation Aware Sparsified Mean Estimation Using Random Projection Shuli Jiang Pranay Sharma Gauri Joshi 35 1 0 29 Oct 2023
LASER: Linear Compression in Wireless Distributed Optimization Ashok Vardhan Makkuva Marco Bondaschi Thijs Vogels Martin Jaggi Hyeji Kim Michael C. Gastpar 82 3 0 19 Oct 2023
Matrix Compression via Randomized Low Rank and Low Precision Factorization R. Saha Varun Srivastava Mert Pilanci 23 19 0 17 Oct 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 39 244 0 20 Jul 2023
Adaptive Compression in Federated Learning via Side Information Berivan Isik Francesco Pase Deniz Gunduz Sanmi Koyejo Tsachy Weissman M. Zorzi FedML 31 9 0 22 Jun 2023
Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation Berivan Isik Wei-Ning Chen Ayfer Özgür Tsachy Weissman Albert No 55 19 0 08 Jun 2023
Fast Optimal Locally Private Mean Estimation via Random Projections Hilal Asi Vitaly Feldman Jelani Nelson Huy Le Nguyen Kunal Talwar FedML 34 13 0 07 Jun 2023
Communication-Efficient Design for Quantized Decentralized Federated Learning L. Chen Wei Liu Yunfei Chen Weidong Wang FedML MQ 52 14 0 15 Mar 2023
THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression Minghao Li Ran Ben-Basat S. Vargaftik Chon-In Lao Ke Xu Michael Mitzenmacher Minlan Yu Harvard University 26 15 0 16 Feb 2023
DoCoFL: Downlink Compression for Cross-Device Federated Learning Ron Dorfman S. Vargaftik Y. Ben-Itzhak Kfir Y. Levy FedML 26 18 0 01 Feb 2023
GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning Shiqi He Qifan Yan Feijie Wu Lanjun Wang Mathias Lécuyer Ivan Beschastnikh FedML 42 7 0 03 Dec 2022
ScionFL: Efficient and Robust Secure Quantized Aggregation Y. Ben-Itzhak Helen Mollering Benny Pinkas T. Schneider Ajith Suresh Oleksandr Tkachenko S. Vargaftik Christian Weinert Hossein Yalame Avishay Yanai 32 6 0 13 Oct 2022
Sparse Random Networks for Communication-Efficient Federated Learning Berivan Isik Francesco Pase Deniz Gunduz Tsachy Weissman M. Zorzi FedML 70 52 0 30 Sep 2022
Towards Efficient Communications in Federated Learning: A Contemporary Survey Zihao Zhao Yuzhu Mao Yang Liu Linqi Song Ouyang Ye Xinlei Chen Wenbo Ding FedML 51 59 0 02 Aug 2022
QUIC-FL: Quick Unbiased Compression for Federated Learning Ran Ben-Basat S. Vargaftik Amit Portnoy Gil Einziger Y. Ben-Itzhak Michael Mitzenmacher FedML 64 13 0 26 May 2022
SDR: Efficient Neural Re-ranking using Succinct Document Representation Nachshon Cohen Amit Portnoy B. Fetahu A. Ingber AI4TS 26 10 0 03 Oct 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 187 412 0 14 Jul 2021
DRIVE: One-bit Distributed Mean Estimation S. Vargaftik Ran Ben-Basat Amit Portnoy Gal Mendelson Y. Ben-Itzhak Michael Mitzenmacher OOD FedML 82 51 0 18 May 2021
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism M. Shoeybi M. Patwary Raul Puri P. LeGresley Jared Casper Bryan Catanzaro MoE 245 1,821 0 17 Sep 2019