Njengoko iinkqubo zentlawulo zehlabathi zehlabathi zihlabathi kunye neentlawulo zehlabathi ezihlabathi. Njengoko iinkqubo zentlawulo zehlabathi zehlabathi zihlanganisa ukufunyanjiswa ngokuchasene nexabiso kunye neenkcukacha, zihlanganisa ukutshatyalaliswa kwe-fraud. Ukuphendula le ngxabiso omnye kufuneka uqhagamshelane ne-innovative mindset-one enxabiso lwezobugcisa kunye neengxabiso kwi-ethical, i-privacy-preserving innovation. U-Vijaya Rama Raju Gottimukkala uye wabelane ubugcisa yayo. Uhlalutyo wakhe esidlulileyo, i-Federated Learning Approaches for Fraud Detection in International Payment Systems, ibonise isixhobo esebenzayo yokukhuthaza ukucacisa ukucaciswa kwe-fraud ngokufanelekileyo kunye nokuxhomekeka kwinqanaba le-privacy ye-financial data kunye ne-compliance ye-regulatory. The Challenge of Cross-Border Trust Iinkonzo zentengiso zokusebenza kwiinkalo zokusebenza kwiinkalo zokusetyenziswa kwiinkqubo zokusebenza ezahlukeneyo. Oku kwenza i-paradox: iinkqubo zokusetyenziswa kwe-fraud zinokufunda kwiimveliso zehlabathi, nangona kunjalo idatha eyenza iimveliso zehlabathi engathintela. Kwi-Research, Gottimukkala ibonisa ukuba le umngcipheko phakathi kokubambisana kunye ne-confidentiality yinto ingxaki engaphezulu kwi-financial technology namhlanje. Iimodeli ze-machine learning ezivamile ezisetyenziselwa ukucaciswa kwe-fraud zihlanganisa amaxabiso ze-datasets ezisetyenzisiweyo-i-repositories ezininzi zihlanganiswa ngeyure ze-data localization. Ngenxa yoko, ama-indicators ze-fraud zihlanganiswa kwiinkalo ezisetyenzisiweyo, okuvumela iinkqubo ukuba zihlanganisa iimodeli zehlabathi. I-Federated Learning (FL) inikeza indlela elandelayo. Ngokuvumela iziko ezininzi ukufundisa iimodeli ezahlukahlukeneyo ngaphandle kokubonisa iinkcukacha zayo zangaphakathi, i-FL ibonise ukuxhaswa kwimveliso yobugcisa. Ukusebenza kweGottimukkala ibonise indlela le khono, xa ifumaneka kwiimeko zeengcebiso zehlabathi zehlabathi, inokukwazi ukuguqulwa indlela yobugcisa yobugcisa. Building a Framework for Secure Collaboration Ukusetyenziswa kwe-FL ye-Gottimukkala ibonisa indlela yokusebenza kweebhanki, i-payment processors, kunye ne-regulatory bodies. Ngaphandle kokufumelela kwi-aggregator eyodwa ye-centralized, i-framework yayo ivumela ukuxhaswa kwe-peer-to-peer - zonke abathengisi zihlanganisa ukuqeqeshwa kweemodeli nangokufumana umyalelo kwegama zayo. I-structure yenzelwe ukunciphisa ingozi yeendaba yeendaba kunye nokunciphisa iingxaki ezininzi zeengxaki zeendaba, ezimbini zeengxaki ezininzi ezivela kwiinkqubo ezivamile. Kwakhona inikeza isakhiwo se-flexibility, okuvumela ngamnye node ukuguqula iimodeli ye-global kwi-local regulatory and transactional contexts. Ukwakhiwa kubandakanya ubuchwepheshe ezihlangeneyo njenge-communication-efficient updates, i-sparsification, kunye ne-asynchronous training. Oku kubandakanya iindleko ze-bandwidth ezinxulumene ne-model sharing, yenza le nkqubo ekugqibeleni kwindawo ezinxulumeneyo kunye ne-infrastructure. Ngokuphendula iimfuno ze-network yehlabathi, i-Gottimukkala ibonelela ukuba imvume ye-theoretical ye-FL iboniswe kwimfuneko yokusebenza. Addressing Data Diversity and Real-World Complexity Enye yeengxaki ezincinci ekubunjweni kwe-fraud yehlabathi ye-heterogeneity yeedatha. Iimveliso ze-fraud zihlanganisa kakhulu kumazwe ngamazwe ngamazwe, ezibonisa iingxaki kwimveliso yabasetyhini, umsebenzi lwemveliso, kwaye kwakhona iintlobo ze-seasonal. I-Gottimukkala ye-framework ithatha ngokuthe ngqo le nkcebiso ngokubandakanya iinkqubo yokusebenzisa idatha eyenziwe ngexabiso (i-non-IID) kumazwe ngamazwe ngamazwe. Ukucaciswa kwayo kubonisa indlela yokufunda lokugqibela kunye nokuxhomekeka kwehlabathi. Izakhiwo zinokufanisa iimodeli zayo iimodeli ze-region-specific – ezifana ne-card-not-present fraud okanye i-identities synthetic – ngaphandle kokuphumelela intloko lwabathengi ebonakalayo kwi-cooperation ye-international. Ukusebenza okuzenzakalelayo kubalulekile kwihlabathi apho i-typologies ze-fraud zihlabathi ngokukhawuleza kunokuba zihlale iinkcukacha ze-static. I-framework ngoko inikeza uxinzelelo kunye ne-resilience, okuvumela iinkqubo ukufumana iinkcukacha ezincinane ezininzi ezidlulileyo ezidlulileyo iimodeli ze-static. From Concept to Evaluation Ukubonisa indlela yayo, i-Gottimukkala i-simulated cross-border payment environments usebenzisa iinkcukacha ze-synthetic ezisetyenziselwa iingcebiso ze-real-world. Iingcebiso zibonisa ukuba ukufundiswa kwe-federated inokufumana iinkqubo ze-centralized ekhawulezisa iingcebiso xa idatha ye-fraud eyenziwe ngexabiso. Ukucaciswa kwimveliso zibonisa izinga ezininzi zokusebenza kunye ne-precision, kunye ne-peer-to-peer FL ukugcina i-accuracy efanelekileyo kwiimodeli ze-centralized nangokuphucula kakhulu i-privacy. Iinkonfigurations ze-communication-efficient ezidlulileyo i-optimized performance ngokunciphisa ukuxhaswa kwedatha phakathi kwiziko. Iziphumo zilandelayo zibonisa ingqiqo esebenzayo: ukhuseleko kunye ne-privacy ayidinga ukuba ziyafumaneka imiphumo embalwa. Nge-framework efanelekileyo, zinokukwazi ukuqinisa enye - ukuvelisa ukhuseleko kwi-foundation efanelekileyo ye-digital finance. Ethics and Compliance in Design Ukongezelela kwi-innovation ye-technical, umsebenzi we-Gottimukkala ibonelela inkcazelo enzima yeengxaki ze-regulatory kunye ne-ethical. I-model yayo ibonelela ukuba iziko zebhizinisi zokusebenza kwiinkqubo ezininzi zomthetho ezifana ne-GDPR kunye ne-CCPA. Kwimeko yokuvimbela iingcango zayo, indlela yayo ibandakanya umgangatho kwinqanaba we-system. By design, i-federated architecture ibonelela ukuba akukho umdlali akwazi ukufumana idatha ezinokufumaneka okanye zokusetyenziswa ngempumelelo. Yonke update yama-model ibonelela kwi-intelligence ye-collective ngelixa ukugcina i-privacy ye-institutional kunye ne-consumer. Ukulinganiswa okuzenzakalelayo kwezobugcisa kunye ne-governance yenza umsebenzi wayo. Oku kuthetha ukuba ukuthuthukiswa okuqhubekayo kwi-innovation ye-financial kuxhomekeke kuphela kwi-algorithmic excellence kodwa kwi-confidence ye-public. A Broader Vision for Financial Resilience Izixhobo ze-Gottimukkala ziquka kwiinkqubo zophando zophando. Izixhobo zophando zayo zihlanganisa i-software engineering, i-artificial intelligence, kunye ne-modernization ye-payment infrastructure. Ngexesha elide zophando kunye nokuphucula iinkqubo zokusebenza iintengiso zentengiso zentengiso zentengiso zentengiso, uyenza inkcazelo epheleleyo kwiingxaki ezibonisa i-economy ye-digital namhlanje. Ukusetyenziswa kwe-machine learning kwi-fraud prevention, i-anomaly detection, kunye ne-compliance screening, iye yandise ukuphucula i-transaction transparency kunye nokunciphisa ingozi ye-systemic kwi-ecosystems ze-payment zehlabathi. Ngokusetyenziswa kweengcali yayo kunye ne-innovation ye-research-driven, i-Gottimukkala ibonise ukuba ubuchwepheshe inokufumaneka njenge-power unifunding kwi-finance yehlabathi yehlabathi - ukutshintshela iintlobo ze-institutional ngaphandle kokuphindaphinda ukhuseleko. Looking Ahead Imiphumo ye-Federated Learning Approaches for Fraud Detection kwi-International Payment Systems ivela ngaphezu kwe-fraud detection ngokufanelekileyo. Zifumaneka kwi-future apho iziko zentlawulo zentlawulo zihlanganisa kwiinkalo ze-trust, zihlanganiswa nezinqubo ze-transparency, privacy, kunye ne-accountability. Njengoko iintengiso ze-international zilandele ukukhula kwama-volume kunye ne-complexity, i-Gottimukkala ibonisa i-ecosystem apho i-AI systems ayikho kuphela ukucacisa iintengiselwano, kodwa nangokufumaneka ngexesha elandelayo - ukufundisa kwimvelo ezininzi kunye nokukhusela ubumfihlo kaThixo. Kwixesha elidlulileyo ye-digitalization kunye ne-regulatory scrutiny, uphando elifanayo ibonakalise ngempumelelo lwezobugcisa kunye ne-moral clarity. It ibonakalisa ukuba i-innovation kwi-finance inokufanelekileyo kunye ne-responsible, ukunceda ukhuseleko lwekhompyutha ngaphandle kokuphumelela iimpahla ze-individual. Ukusebenzisa umsebenzi wakhe, iVijaya Rama Raju Gottimukkala inikeza i- blueprint ye-generation elandelayo ye-intelligence ye-financial - enye elidlulileyo, elidlulileyo, elidlulileyo, elidlulileyo, elidlulileyo.

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I-Vijaya Rama Raju Gottimukkala: Ukukhuthaza Ukhuseleko lwekhwalithi yehlabathi nge-Federated Learning

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