The　high　integration　of　FL　to　achieve　data　privacy　preservation　in　modern　mobile　applications　is　bringing　users’　data　to　become　the　most　valuable　assets　in　the　challenge　of　realizing　robust　data　privacy　policies　inside　network　infrastructures.　This　means,　in　other　words,　that　today,　securing　sensitive　user　data　is　becoming　more　essential　than　before.　In　this　article,　by　using　FL　based　privacy　preserving　ecosystem　learn　from　the　situation　of　data　centralized　context,　we　adopt　the　differential　data　sharing　to　realize　high　performance　inside　FL　blockchain　by　increasing　also　it　preservation　performance.　Our　result　performances　by　comparing　privacy　and　non-privacy　preserving　chaincode　FL　Blockchain　shows　high　performance　on　keeping　protected　the　data　shared　environment.　Hyperledger　Fabric　algorithm　design　simulation　scenario　reduces　considerably　all　addition　noise　to　keep　the　entire　system　work　properly.　This　contribution　shows　how　mobile　communication　network　systems　in　data　privacy　and　preservation　context　can　be　incentivized　to　allow　any　users　through　interchange　connection　to　be　rewarded　for　their　work　performances,　and　how　differential　data　sharing　scenario　can　useful　to　deal　with　it.　©　2024　SPIE.