{"_id":"P8yjQ3Dqnoh2XfJrn","bibbaseid":"rauniyar-hagos-jha-hkegrd-bagci-rawat-vlassov-federatedlearningformedicalapplicationsataxonomycurrenttrendschallengesandfutureresearchdirections-2024","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":"IEEE Internet Things J.","volume":"11","number":"5","pages":"7374–7398","year":"2024","url":"https://doi.org/10.1109/JIOT.2023.3329061","doi":"10.1109/JIOT.2023.3329061","timestamp":"Mon, 01 Apr 2024 01:00:00 +0200","biburl":"https://dblp.org/rec/journals/iotj/RauniyarHJHBRV24.bib","bibsource":"dblp computer science bibliography, https://dblp.org","bibtex":"@article{DBLP:journals/iotj/RauniyarHJHBRV24,\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 = {{IEEE} Internet Things J.},\n volume = {11},\n number = {5},\n pages = {7374--7398},\n year = {2024},\n url = {https://doi.org/10.1109/JIOT.2023.3329061},\n doi = {10.1109/JIOT.2023.3329061},\n timestamp = {Mon, 01 Apr 2024 01:00:00 +0200},\n biburl = {https://dblp.org/rec/journals/iotj/RauniyarHJHBRV24.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/iotj/RauniyarHJHBRV24","id":"DBLP:journals/iotj/RauniyarHJHBRV24","bibbaseid":"rauniyar-hagos-jha-hkegrd-bagci-rawat-vlassov-federatedlearningformedicalapplicationsataxonomycurrenttrendschallengesandfutureresearchdirections-2024","role":"author","urls":{"Paper":"https://doi.org/10.1109/JIOT.2023.3329061"},"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":2024}