{"product_id":"9789819692224","title":"Federated Learning : A Primer for Mathematicians (Iciam2023 Springer Series) \u003cVol. 4\u003e","description":"\u003cp\u003e5 discusses two attacks that target weaknesses of federated learning systems: (1) data leakage, i.e., inferring raw data used to train an AI model by unauthorized parties, and (2) data poisoning, i.e., a cyberattack that compromises data used to train an AI model to manipulate its output.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":52441313149239,"sku":"00000_00000_00000_00000","price":866.82,"currency_code":"MYR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0962\/3548\/7543\/files\/9789819692224-1.jpg?v=1783299949","url":"https:\/\/kinokuniya.com.my\/products\/9789819692224","provider":"Books Kinokuniya Malaysia","version":"1.0","type":"link"}