2023 DADAO: Decoupled Accelerated Decentralized Asynchronous Optimization Adel Nabli, and Edouard Oyallon In Proceedings of the 40th International Conference on Machine Learning, 2023 Bib HTML PDF @inproceedings{nabli2023dadao, title = {DADAO: Decoupled Accelerated Decentralized Asynchronous Optimization}, author = {Nabli, Adel and Oyallon, Edouard}, booktitle = {Proceedings of the 40th International Conference on Machine Learning}, year = {2023}, series = {Proceedings of Machine Learning Research}, publisher = {PMLR}, } Can Forward Gradient match Backpropagation? Louis Fournier, Stéphane Rivaud, Eugene Belilovsky, and 2 more authors In Proceedings of the 40th International Conference on Machine Learning, 2023 Bib HTML PDF @inproceedings{fournier2023can, title = {Can Forward Gradient match Backpropagation?}, author = {Fournier, Louis and Rivaud, Stéphane and Belilovsky, Eugene and Eickenberg, Michael and Oyallon, Edouard}, booktitle = {Proceedings of the 40th International Conference on Machine Learning}, year = {2023}, series = {Proceedings of Machine Learning Research}, publisher = {PMLR}, } A2CiD2: Accelerating Asynchronous Communication in Decentralized Deep Learning Adel Nabli, Eugene Belilovsky, and Edouard Oyallon 2023 Bib HTML @misc{nabli2023acid, title = {A2CiD2: Accelerating Asynchronous Communication in Decentralized Deep Learning}, author = {Nabli, Adel and Belilovsky, Eugene and Oyallon, Edouard}, year = {2023}, } Decentralized Asynchronous Optimization with DADAO allows Decoupling and Acceleration Adel Nabli, and Edouard Oyallon 2023 Bib HTML @misc{nabli2023decentralized, title = {Decentralized Asynchronous Optimization with DADAO allows Decoupling and Acceleration}, author = {Nabli, Adel and Oyallon, Edouard}, year = {2023}, } Guiding The Last Layer in Federated Learning with Pre-Trained Models Gwen Legate, Nicolas Bernier, Lucas Caccia, and 2 more authors 2023 Bib HTML @misc{legate2023guiding, title = {Guiding The Last Layer in Federated Learning with Pre-Trained Models}, author = {Legate, Gwen and Bernier, Nicolas and Caccia, Lucas and Oyallon, Edouard and Belilovsky, Eugene}, year = {2023}, } 2022 Gradient Masked Averaging for Federated Learning Irene Tenison, Sai Aravind Sreeramadas, Vaikkunth Mugunthan, and 3 more authors 2022 Bib HTML PDF @misc{tenison2022gradient, title = {Gradient Masked Averaging for Federated Learning}, author = {Tenison, Irene and Sreeramadas, Sai Aravind and Mugunthan, Vaikkunth and Oyallon, Edouard and Belilovsky, Eugene and Rish, Irina}, year = {2022}, eprint = {2201.11986}, archiveprefix = {arXiv}, primaryclass = {cs.LG}, } 2021 DoStoVoQ: Doubly Stochastic Voronoi Vector Quantization SGD for Federated Learning Louis Leconte, Aymeric Dieuleveut, Edouard Oyallon, and 2 more authors 2021 Bib HTML PDF @misc{leconte2021textttdostovoq, title = {DoStoVoQ: Doubly Stochastic Voronoi Vector Quantization SGD for Federated Learning}, author = {Leconte, Louis and Dieuleveut, Aymeric and Oyallon, Edouard and Moulines, Eric and PAGES, Gilles}, year = {2021}, } Decoupled Greedy Learning of CNNs for Synchronous and Asynchronous Distributed Learning Eugene Belilovsky, Louis Leconte, Lucas Caccia, and 2 more authors 2021 Bib HTML PDF @misc{belilovsky2021decoupled, title = {Decoupled Greedy Learning of CNNs for Synchronous and Asynchronous Distributed Learning}, author = {Belilovsky, Eugene and Leconte, Louis and Caccia, Lucas and Eickenberg, Michael and Oyallon, Edouard}, year = {2021}, eprint = {2106.06401}, archiveprefix = {arXiv}, primaryclass = {cs.LG}, }