Dataset Groups Activity Stream DeceFL: A Principled Decentralized Federated Learning Framework DeceFL is a decentralized federated learning algorithm that eliminates the need for a central server and maintains convergence property. BibTex: @dataset{Ye_Yuan_and_Ruijuan_Chen_and_Maolin_Wang_and_Chuan_Sun_and_Lei_Xu_and_Feng_Hua_and_Xin_He_and_Xinlei_Yi_and_Tao_Yang_and_Hai-Tao_Zhang_and_Shaochun_Sui_and_Han_Ding_2024, abstract = {DeceFL is a decentralized federated learning algorithm that eliminates the need for a central server and maintains convergence property.}, author = {Ye Yuan and Ruijuan Chen and Maolin Wang and Chuan Sun and Lei Xu and Feng Hua and Xin He and Xinlei Yi and Tao Yang and Hai-Tao Zhang and Shaochun Sui and Han Ding}, doi = {10.57702/a2u2rvqs}, institution = {No Organization}, keyword = {'decentralized', 'federated', 'framework', 'learning'}, month = {dec}, publisher = {TIB}, title = {DeceFL: A Principled Decentralized Federated Learning Framework}, url = {https://service.tib.eu/ldmservice/dataset/decefl--a-principled-decentralized-federated-learning-framework}, year = {2024} }
