{"_id":"7ktxxeWbauBLzfMvr","bibbaseid":"rauniyar-hagos-jha-hkegrd-bagci-rawat-vlassov-federatedlearningformedicalapplicationsataxonomycurrenttrendschallengesandfutureresearchdirections-2022","author_short":["Rauniyar, A.","Hagos, D. H.","Jha, D.","Håkegård, J. E.","Bagci, U.","Rawat, D. B.","Vlassov, V."],"bibdata":{"bibtype":"article","type":"article","author":[{"firstnames":["Ashish"],"propositions":[],"lastnames":["Rauniyar"],"suffixes":[]},{"firstnames":["Desta","Haileselassie"],"propositions":[],"lastnames":["Hagos"],"suffixes":[]},{"firstnames":["Debesh"],"propositions":[],"lastnames":["Jha"],"suffixes":[]},{"firstnames":["Jan","Erik"],"propositions":[],"lastnames":["Håkegård"],"suffixes":[]},{"firstnames":["Ulas"],"propositions":[],"lastnames":["Bagci"],"suffixes":[]},{"firstnames":["Danda","B."],"propositions":[],"lastnames":["Rawat"],"suffixes":[]},{"firstnames":["Vladimir"],"propositions":[],"lastnames":["Vlassov"],"suffixes":[]}],"title":"Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions","journal":"CoRR","volume":"abs/2208.03392","year":"2022","url":"https://doi.org/10.48550/arXiv.2208.03392","doi":"10.48550/ARXIV.2208.03392","eprinttype":"arXiv","eprint":"2208.03392","timestamp":"Tue, 07 May 2024 01:00:00 +0200","biburl":"https://dblp.org/rec/journals/corr/abs-2208-03392.bib","bibsource":"dblp computer science bibliography, https://dblp.org","bibtex":"@article{DBLP:journals/corr/abs-2208-03392,\n author = {Ashish Rauniyar and\n Desta Haileselassie Hagos and\n Debesh Jha and\n Jan Erik H{\\aa}keg{\\aa}rd and\n Ulas Bagci and\n Danda B. Rawat and\n Vladimir Vlassov},\n title = {Federated Learning for Medical Applications: {A} Taxonomy, Current\n Trends, Challenges, and Future Research Directions},\n journal = {CoRR},\n volume = {abs/2208.03392},\n year = {2022},\n url = {https://doi.org/10.48550/arXiv.2208.03392},\n doi = {10.48550/ARXIV.2208.03392},\n eprinttype = {arXiv},\n eprint = {2208.03392},\n timestamp = {Tue, 07 May 2024 01:00:00 +0200},\n biburl = {https://dblp.org/rec/journals/corr/abs-2208-03392.bib},\n bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n\n","author_short":["Rauniyar, A.","Hagos, D. H.","Jha, D.","Håkegård, J. E.","Bagci, U.","Rawat, D. B.","Vlassov, V."],"key":"DBLP:journals/corr/abs-2208-03392","id":"DBLP:journals/corr/abs-2208-03392","bibbaseid":"rauniyar-hagos-jha-hkegrd-bagci-rawat-vlassov-federatedlearningformedicalapplicationsataxonomycurrenttrendschallengesandfutureresearchdirections-2022","role":"author","urls":{"Paper":"https://doi.org/10.48550/arXiv.2208.03392"},"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"http://dblp.org/pers/tb2/b/Bagci:Ulas","dataSources":["yGTvE6gpRZxrrNnsS"],"keywords":[],"search_terms":["federated","learning","medical","applications","taxonomy","current","trends","challenges","future","research","directions","rauniyar","hagos","jha","håkegård","bagci","rawat","vlassov"],"title":"Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions","year":2022}