From threat modeling to encrypted collaboration apps, we've collected experts' tips and tools for safely and effectively building a group--even while being targeted and tracked by the powerful. Rarely in modern US history have so many Americans opposed the actions of the federal government with so little hope for a top-down political solution. That's left millions of people seeking a bottom-up approach to resistance: grassroots organizing. Yet as Americans assemble their own movements to protect and support immigrants, push back against the Department of Homeland Security's dangerous incursions into cities, and protest for civil rights and policy changes, they face a federal government that possesses vast surveillance powers and sweeping cooperation from the Silicon Valley companies that hold Americans' data. That means political, social, and economic organizing presents a risky dilemma. How do you bring people of all ages, backgrounds, and technical abilities into a mass movement without exposing them to monitoring and targeting by a government--and in particular Immigration and Customs Enforcement and Customs and Border Protection, agencies with paramilitary ambitions, a tendency to break the law, and more funding than some countries' militaries. Organizing safely in an age of surveillance increasingly requires not only technical security know-how, but also a tricky balance between secrecy and openness, says Eva Galperin, the director of cybersecurity at the Electronic Frontier Foundation, a nonprofit focused on digital civil liberties.

Evidence is mounting that Elon Musk's decision to deny Russian forces access to his Starlink satellite-based internet service has blunted Moscow's advance, caused confusion among Russian soldiers and handed an advantage to Ukraine's defenders. And what can Ukraine's military achieve in the meantime? The Russians lost their ability to control the field, a Ukrainian drone operator who goes by the callsign Giovanni told us. I think they lost 50% of their capacity for offence, he said. That's what the numbers show.

However, the cross-client edges naturally exist among clients.

Intelligent audio and intuitive tools are transforming collaboration from connection to creativity, says Sam Sabet, chief technology officer at Shure, and Brendan Ittelson, chief ecosystem officer at Zoom. When work went remote, the sound of business changed. What began as a scramble to make home offices functional has evolved into a revolution in how people hear and are heard. From education to enterprises, companies across industries have reimagined what clear, reliable communication can mean in a hybrid world. For major audio and communications enterprises like Shure and Zoom, that transformation has been powered by artificial intelligence, new acoustic technologies, and a shared mission: making connection effortless. Necessity during the pandemic accelerated years of innovation in months. Audio and video just working is a baseline for collaboration, says chief ecosystem officer at Zoom, Brendan Ittelson. That expectation has shifted from connecting people to enhancing productivity and creativity across the entire ecosystem. Audio is a foundation for trust, understanding, and collaboration.

In hacker spaces and at their homes, creative protesters are laser-cutting and 3D-printing tools to resist an occupation. As the US government's immigration crackdown expands across the country, anxious residents have mobilized to look out for each other. One way they're doing that is by finding ways to build the tools they need to be resilient against the surge of Immigration and Customs Enforcement agents empowered to kill with impunity . All over the country, makers are 3D-printing thousands of whistles to help people on the ground alert others to nearby ICE activity. But the whistles are far from the only tools being used to respond to the surge of federal agents.

Distributed training of Deep Learning models has been critical to many recent successes in the field. Current standard methods primarily rely on synchronous centralized algorithms which induce major communication bottlenecks and synchronization locks at scale.

Therefore, from a system-level perspective, the design ethos of a system-efficient communication-compression algorithm is that we should guarantee that the compression/decompression of the algorithm is computationally light and takes less time, and it should also be friendly to efficient collective communication primitives.

Ironically, previous works neglect multi-round interaction, which is indispensable in human communication.