Fetching the paper…
Reading the bibliography…
We tackle the non-convex problem of learning a personalized deep learning model in a decentralized setting.
Federated evaluation of on-device personalization
Wang, K., Mathews, R., Kiddon, C., Eichner, H., Beaufays, F., and Ramage, D · 1910
Earlier work this paper cites.
Gossip-based computation of aggregate information
Kempe, D., Dobra, A., and Gehrke, J · 2003
Earlier work this paper cites.
Randomized gossip algorithms
Boyd, S., Ghosh, A., Prabhakar, B., and Shah, D · 2006
Earlier work this paper cites.
Gossip-based peer sampling
Jelasity, M., Voulgaris, S., Guerraoui, R., Kermarrec, A.-M., and Van Steen, M · 2007
Earlier work this paper cites.
Learning multiple layers of features from tiny images
Krizhevsky, A., Hinton, G., et al · 2009
Earlier work this paper cites.
Gossip learning with linear models on fully distributed data
Ormándi, R., Hegedűs, I., and Jelasity, M · 2013
Earlier work this paper cites.
Gossip training for deep learning
Blot, M., Picard, D., Cord, M., and Thome, N · 2016
Earlier work this paper cites.
Communication-efficient learning of deep networks from decentralized data
McMahan, B., Moore, E., Ramage, D., Hampson, S., and y Arcas, B. A · 2017
Earlier work this paper cites.
Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms
Xiao, H., Rasul, K., and Vollgraf, R · 2017
Cited alongside, same era.
Jeong, E., Oh, S., Kim, H., Park, J., Bennis, M., and Kim, S.-L · 2018
Cited alongside, same era.
Federated learning with non-iid data
Zhao, Y., Li, M., Lai, L., Suda, N., Civin, D., and Chandra, V · 2018
Cited alongside, same era.
Stochastic gradient push for distributed deep learning
Assran, M., Loizou, N., Ballas, N., and Rabbat, M · 2019
Cited alongside, same era.
Gossip learning: Off the beaten path
Giaretta, L. and Girdzijauskas, Š · 2019
Cited alongside, same era.
Decentralized stochastic optimization and gossip algorithms with compressed communication
Koloskova, A., Stich, S., and Jaggi, M · 2019
Later among the works it cites.
Braintorrent: A peer-to-peer environment for decentralized federated learning
Roy, A. G., Siddiqui, S., Pölsterl, S., Navab, N., and Wachinger, C · 2019
Later among the works it cites.
Matcha: Speeding up decentralized sgd via matching decomposition sampling
Wang, J., Sahu, A. K., Yang, Z., Joshi, G., and Kar, S · 2019
Later among the works it cites.
Adaptive personalized federated learning
Deng, Y., Kamani, M. M., and Mahdavi, M · 2020
Later among the works it cites.
An efficient framework for clustered federated learning
Ghosh, A., Chung, J., Yin, D., and Ramchandran, K · 2020
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Gossip learning as a decentralized alternative to federated learning
Hegedűs, I., Danner, G., and Jelasity, M · 2019
Cited alongside, same era.
Improving federated learning personalization via model agnostic meta learning
Jiang, Y., Konečnỳ, J., Rush, K., and Kannan, S · 2019
Cited alongside, same era.
Advances and open problems in federated learning
Kairouz, P., McMahan, H. B., Avent, B., Bellet, A., Bennis, M., Bhagoji, A. N., Bonawitz, K., Charles, Z., Cormode, G., Cummings, R., et al · 2019
Cited alongside, same era.
Later among the works it cites.
Specialized federated learning using a mixture of experts
Listo Zec, E., Mogren, O., Martinsson, J., Sütfeld, L. R., and Gillblad, D · 2020
Later among the works it cites.
Edge-consensus learning: Deep learning on p2p networks with nonhomogeneous data
Niwa, K., Harada, N., Zhang, G., and Kleijn, W. B · 2020
Later among the works it cites.
Consensus control for decentralized deep learning
Kong, L., Lin, T., Koloskova, A., Jaggi, M., and Stich, S. U · 2021
Closest in time.