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This PhD project focuses on strengthening network security for large-scale distributed AI training. As training increasingly spans multiple data centers connected over wide-area networks, it
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basidiomycetous fungi. The project will focus on the spatial and temporal distribution of the soma and germline, and the mechanisms determining their separation. The project will have a strong emphasis on molecular
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machine unlearning. Machine unlearning strategies that balance the tradeoff between privacy and utility in continual, federated, and distributed settings. Your primary responsibility will be to conduct
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strategies that balance the tradeoff between privacy and utility in continual, federated, and distributed settings. Your primary responsibility will be to conduct original, high-quality research in trustworthy
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. They involve high-stakes decisions with important trade-offs and uncertainties. They are also challenged by the data sampling process which gives rise to distribution shifts when comparing past and future data
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the following research areas providing a template for relevant directions: Research Topics: -Distributed task planning and navigation for collaborative manipulation -Motion planning for non-circular unsymmetric
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This PhD project focuses on advancing network security in the emerging Web3 ecosystem. As decentralized applications built on blockchain and distributed ledger technologies become more widespread
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build the sustainable companies and societies of the future. Pervasive and Mobile Computing (PMC) research subject addresses fundamental challenges in distributed systems and mobile networks, enabling
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build the sustainable companies and societies of the future. Pervasive and Mobile Computing (PMC) research subject addresses fundamental challenges in distributed systems and mobile networks, enabling
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and application architectures with implementations of massively distributed embedded systems that interact with each other and their environment to enable secure, goal-driven, autonomous and evolvable