Abstract. Distributed aggregation algorithms are important in many present and future computing applications. However, after a decade of research, there are still numerous open questions regarding the security of this important class of algorithms. We intend to address some of these questions, mainly those regarding resilience against active attackers, whose aim is to compromise the integrity of the aggregate computation. Our work is currently in its initial stages, but we have identified promising research leads, which we present in this paper
Innovative ways to use ad hoc networking between vehicles are an active research topic and numerous ...
Aggregate Computing is a promising paradigm for coordinating large numbers of possibly situated devi...
Part 3: Private Queries and AggregationsInternational audienceAggregation of values that need to be ...
none3noRecent trends such as the Internet of Things and pervasive computing demand for novel enginee...
Abstract—In-network aggregation is an efficient and scalable distributed approach to global state ap...
Recent trends such as the Internet of Things and pervasive computing demand for novel engineering ap...
Recent trends such as the Internet of Things and pervasive computing demand for novel engineering ap...
In-netvork aggregation is an important paradigm for current and future networked systems, enabling e...
In-network aggregation is an important paradigm for current and future networked systems, enabling e...
Abstract. We consider the problem of computing an aggregation function in a secure and scalable way....
In this paper, we propose a new model of resilient data aggregation in sensor networks, where the ag...
Abstract Distributed learning, as the most popular solution for training large-scale data for deep l...
Gossip based aggregation protocols are a promising approach to monitoring large-scale decentralized ...
International audienceSecure aggregation protocols allow anaggregator to compute the sum of multiple...
Aggregation is an important building block of modern distributed applications, allowing the determin...
Innovative ways to use ad hoc networking between vehicles are an active research topic and numerous ...
Aggregate Computing is a promising paradigm for coordinating large numbers of possibly situated devi...
Part 3: Private Queries and AggregationsInternational audienceAggregation of values that need to be ...
none3noRecent trends such as the Internet of Things and pervasive computing demand for novel enginee...
Abstract—In-network aggregation is an efficient and scalable distributed approach to global state ap...
Recent trends such as the Internet of Things and pervasive computing demand for novel engineering ap...
Recent trends such as the Internet of Things and pervasive computing demand for novel engineering ap...
In-netvork aggregation is an important paradigm for current and future networked systems, enabling e...
In-network aggregation is an important paradigm for current and future networked systems, enabling e...
Abstract. We consider the problem of computing an aggregation function in a secure and scalable way....
In this paper, we propose a new model of resilient data aggregation in sensor networks, where the ag...
Abstract Distributed learning, as the most popular solution for training large-scale data for deep l...
Gossip based aggregation protocols are a promising approach to monitoring large-scale decentralized ...
International audienceSecure aggregation protocols allow anaggregator to compute the sum of multiple...
Aggregation is an important building block of modern distributed applications, allowing the determin...
Innovative ways to use ad hoc networking between vehicles are an active research topic and numerous ...
Aggregate Computing is a promising paradigm for coordinating large numbers of possibly situated devi...
Part 3: Private Queries and AggregationsInternational audienceAggregation of values that need to be ...