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+is+a+distributed+machine+learning+approach+that+protects+user+data+privacy+by+training+models+locally+on+clients+and+aggregating+them+on+a+parameter+server.+While+effective+at+preserving+privacy%252C+FL+systems+face+limitations+such+as+single+points+of+failure%252C+lack+of+incentives%252C+and+inadequate+security.+To+address+these+challenges%252C+blockchain+technology+is+integrated+into+FL+systems+to+provide+stronger+security%252C+fairness%252C+and+scalability.+However%252C+blockchain-empowered+FL+(BC-FL)+systems+introduce+additional+demands+on+network%252C+computing%252C+and+storage+resources.+This+survey+provides+a+comprehensive+review+of+recent+research+on+BC-FL+systems%252C+analyzing+the+benefits+and+challenges+associated+with+blockchain+integration.+We+explore+why+blockchain+is+applicable+to+FL%252C+how+it+can+be+implemented%252C+and+the+challenges+and+existing+solutions+for+its+integration.+Additionally%252C+we+offer+insights+on+future+research+directions+for+the+BC-FL+system.&cdnurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.34b656e90f90aa4c581f8fc66719eb8f%3frik%3dceN1bJVjxJENnA%26pid%3dImgRaw%26r%3d0&exph=630&expw=1200&q=Federated+Blockchain+Examples&FORM=IRPRST&ck=96068A091515738F73859D4FD89A821E&selectedIndex=19&itb=0)
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