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Ioannis Pitas (AUTH)
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This lecture overviews that has many applications in distributed Machine Learning and privacy protection. It covers the following topics in detail: Centralized/Decentralized Learning, Federated Learning principles and platforms, Federated Learning Algorithms (Federated Averaging Algorithm, FedProx algorithm, FedMA algorithm) and Privacy Principles & Technologies, notably: Differential Privacy, Homomorphic Encryption, Zero-knowledge Proof Technologies, Secure Multiparty Computation.
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